First in OpenCV:. Triangle Similarity for Object/Marker to Camera Distance. this can help you getting the distance between two points in the image by providing them as arguments to the function. Problem Name: Distance Between Two Points Find the HSV Color Value for Detecting any Color using Trackbar in OpenCV Python 22 August, 2019;. For example, in the figure given below, we can find the distance between the marked Nose and all other Necks. Eye blink detection with OpenCV, Python, and dlib. vq() function for this purpose. Check other articles on contour features in this blog. Tricky image segmentation in Python. In this tutorial, I'll use OpenCV 3. These are Real-Time Eye Blink Detection using Facial Landmarks. findEssentialMat", "cv2. learning python and r, learning python by doing, learning python beginner, learning python by doing projects, learning python code, learning python commands, learning python courses, learning. Further Work OpenCV also gives an option to 'train' your descriptor matcher using 5-10 images. Write a program to find the square of the distance between two points. Moving Object Detection Using Opencv Python. If the function is called with different values A and B of the parameter qualityLevel , and A > B, the vector of returned corners with qualityLevel=A will be the. euclidean(a, b) but the distance change depending how far Im from the camera and this is not what I want, I want the distance to be the same not matter where I am. Angle difference in degrees between two points in feature. Armadillo vs. Simple Hand Gesture Recognition using OpenCV and JavaScript. Project the 3D points into two views and add noise:. NORM_HAMMING (since we are using ORB) and crossCheck is switched on for better results. Casting does mean converting. Eye blink detection with OpenCV, Python, and dlib. focal_length of ur camera and distance_between_cameras is dist between the two stereo cams. This means that either you will need to use multiple (at least two) cameras for stereo vision or you will determine the. Measuring the distance between pixels on OpenCv with Python. \documentclass[hyperref={colorlinks=true}]{beamer} \usepackage{beamerthemesplit} \usepackage{graphicx} %\usepackage{psfig} \usepackage{multimedia} \usepackage. Remember that while pythagoras will give you the shortest geometrical distance (Eucledian distance) between the points it is by far not the only measure of distance usable. Code in Python to get the distance between two points. What I actually need is to inform what vector is more similar/closer to the newVector. I'm using webcam Microsoft lifecam hd-3000, and I really don't know what to do at this point in the code. I have been working on a simple Python application for face recognition with OpenCV. By default, uniform weights are used. So checking distance to each contour is a time consuming process. It is an accuracy parameter. It returns the distance which is negative when point is outside the contour, positive when point is inside and zero if point is on the contour. There is a built-in function in openCV to compare histograms, but there are several comparison metrics to choose from. OpenCV-Python Tutorials. Let's say I have x1, y1 and also x2, y2. There are some good points here, but I have to disagree with "don't read books". Two weeks ago, we started this round of tutorials by learning how to (correctly) order coordinates in a clockwise manner using Python and OpenCV. Starting Python 3. And, in order to detect the eye points, we first need to detect the face, and then detect the face landmarks. The final value of the shape distance is a user-defined linear combination of the shape context distance, an image appearance distance, and a bending energy. This is some code I wrote for the reverse geocache project. Creating your own Haar Cascade OpenCV Python Tutorial – one object, two images. cpp file, it is not documented, and uses the arcane C API. Face alignment with OpenCV and Python. The second way to compare histograms using OpenCV and Python is to utilize a distance metric included in the distance sub-package of SciPy. In this model, a scene view is formed by projecting 3D points into the image plane using a perspective transformation. drawMatches(),无法直接使用,故可参看本文第2节的drawMatches函数使用. Compute distance between sequences. By default, BF Matcher computes the Euclidean distance between two points. Advanced Search Mask to polygon python. mypalmike 17 April 2008 Reply. Why do we do this ? Well, in order to join any two images into a bigger images, we must find overlapping points. To calculate this, you can find the Euclidean distance from. My code does its work and gets the job done, but I'm wondering if there's a 'better' way to do this. EAR is approximately constant while the eye is open, but will rapidly reduces for a blink. For example, if it is a frontal face, you have an idea of the approximate dimensions it has. In general, it is not possible. Matching Features with ORB using OpenCV (Python code) get the point in both images a draw a line between them. In this Machine Learning Interview Questions blog post, you will learn the most frequently asked questions by interviewers. scalar − A Scalar object representing the color of the arrowed line. Point Polygon Test¶ This function finds the shortest distance between a point in the image and a contour. Function throws away each corner for which there is a stronger corner at a distance less than maxDistance. You can compute farthest distance between any two points after coming up with the convex hull of the points set in O(h) algorithm using brute force or O(log h) algorithm using binary search like method. Surf算法是一把牛刀,我们可以很轻易的从网上或各种Opencv教程里找到Surf的用例,把例程中的代码或贴或敲过来,满心期待的按下F5,当屏幕终于被满屏花花绿绿的小圆点或者N多道连接线条霸占时,内心. php(143) : runtime-created function(1) : eval()'d code(156) : runtime-created. 1 (in python) Question. I used Python and OpenCV to find lines in a real time video. In order to determine the distance of a camera to a specific object, you will need to understand the robot's environment in 3D. BufferedImage; import java. #!/usr/bin/env python import cv2 import numpy as np if __name__ == '__main__' : # Read source image. scalar − A Scalar object representing the color of the arrowed line. Tracking accuracy and timing were determined using calibration data. This is one of the fundamental skills that a self-driving car must have. k-Nearest Neighbor The k-NN is an instance-based classifier. It is the length of the line segment which joins the point to the line and is perpendicular to the line. By default, BF Matcher computes the Euclidean distance between two points. I get this code in this post and cha. If you are using the same orientation as the above, Then this orientation is termed as double_count_in_column which is by default set to True. 1) Check if two images are equal with Opencv and Python; 2) Find similarities between two images with Opencv and Python ; 3) Detect how similar two images are with Opencv and Python; 4) Check if a set of images match the original one with Opencv and Python. Like and share. @param maxDistance Threshold for the distance between matched descriptors. The technique followed is similar to the one used to detect lines, as discussed in this article. How can ı find overlapping area in two gracyscale images with python? Those two points aside, I need to register two images subject to scale-change in OpenCV, for this purpose, I applied. I am stuck by the calculation of distance between two points along a given line. You can do rowsum (or colsum) to get close to region of max pixel. This is an example of the basic Active Shape Model (ASM) and also the Active Appearance Model (AAM). 1 (in python) Question. As we already know how the cognitive research in Artificial Intelligence is taking up the world of security, Automation and Research. So in short, above equation says that the depth of a point in a scene is inversely proportional to the difference in distance of corresponding image points and their camera centers. by Abdul-Wahab April 25, 2019 Abdul-Wahab April 25, 2019. Distance between two points in OpenCv based on known measurement [closed] Ask Question Haversine Formula in Python (Bearing and Distance between two GPS points) 2. Tagging Two Locations on Map using Python and Finding Distance between Two Tagged Location in Python¶ # To begin with : In our last blog we tried to visualize total sales of an organization geographical location wise on a geographical map. There are some good points here, but I have to disagree with "don't read books". Simple Hand Gesture Recognition using OpenCV and JavaScript. In the "Eigenfaces" method you use PCA to find out a few directions you can project the faces into,. /// The lower boundary may not be calculated if the user-defined cost matrix /// is used, the total weights of point configurations are not equal, or there /// is the signatures consist of weights only (i. 30+ algorithms, pure python implementation, common interface, optional external l… distance algorithm python textdistance hamming-distance levenshtein-distance damerau-levenshtein damerau-levenshtein-distance algorithms distance-calculation jellyfish diff levenshtein. tembleking: python-imbalanced-learn: 0. This measurement is sometimes called Cohesion because it measures similarity between the data points in that cluster. winSize – Size of the search window at each pyramid level. There are some good points here, but I have to disagree with "don't read books". Because it is based on Python, it also has much to offer for experienced programmers and researchers. I made a mask and then erotionate to recognize the colours that I need. Calculate the distance (in km or in miles) between two points on Earth, located by their latitude and longitude. CAP_PROP_POS_FRAMES property. 1 (in python) Question. Optical Flow. Mahalanobis distance takes into account the co-variance in the variable data while calculating the distance between 2 points. This is more of image processing work than analytics as there. Ve el perfil de Arun Rajagopalan en LinkedIn, la mayor red profesional del mundo. (Learning OpenCV by Gary Bradsky has a lot of information in this field. (For a more advanced problem, find the actual distance. The book starts off with simple beginner’s level tasks such as basic processing and handling images, image mapping, and detecting images. And usually, we want to know not only the distance between the camera and the object's local coordinate system, but also how the object is oriented. So first we need to find as many possible matches between two images to find the fundamental matrix. Is there a specific purpose in terms of efficiency or functionality why the k-means algorithm does not use for example cosine (dis)similarity as a distance metric, but can only use the Euclidean no. Remember that while pythagoras will give you the shortest geometrical distance (Eucledian distance) between the points it is by far not the only measure of distance usable. How can I find the distance between them? It's a simple math function, but is there a snippet of this online?. I think that the next step is labeling them, and then get the distance. and Eye blink detection with OpenCV, Python, and dlib. I know it can be done with images, but I can't find a real solution with videos. FACIAL RECOGNITION (TECHNOLOGY) December 3, 2018 by Dr Rajiv Desai. We sort them in ascending order of their distances so that best matches (with low distance) come to front. In this tutorial, I'll use OpenCV 3. You may note that the size and orientation of the triangle defined by the 3 points change. vq() function for this purpose. Our blink detection blog post is divided into four parts. e first variable "Fromaddress" contain 1st address abd second variable "Toaddress" contain the second address now i want to calculate the disstance from "Fromaddress" to Toaddress using c# winform application. by Abdul-Wahab April 25, 2019 Abdul-Wahab April 25, 2019. learning python and r, learning python by doing, learning python beginner, learning python by doing projects, learning python code, learning python commands, learning python courses, learning. In my case i have removed some defects points using depth value. I'm using webcam Microsoft lifecam hd-3000, and I really don't know what to do at this point in the code. I am trying to figure out how to quickly select two points in an image and determine the distance between the two points in x,y coordinates. Python is a relatively easy language to learn, but beginners get into bad habits - especially with regards to style - that makes it difficult to collaborate with others later. 4 only has SURF which can be directly used, for every other detectors and descriptors, new functions are used, i. When data is dense or continuous, this is the best proximity measure. Francesco Piscani 13,693 views. In this model, a scene view is formed by projecting 3D points into the image plane using a perspective transformation. This means that two colors at a given distance might look very similar, while two other colors separated by the same distance might look very different. It's FREE too :) Download source code at: https://drive. Increase the DisparityRange when the cameras are far apart or the objects are close to the cameras. In OpenCV the Hue channel ranges from 0 to 180 instead of 0° to 360°, thus I am filtering the image with a Hue range from 0 to 15. Figure 5: The Hamming Distance between image hashes is shown. Computing the distance between the colors using the RGB color space is not the best way to measure the similarity between two given colors. In order to calculate the Eye Aspect Ratio, we need to detect the outline points of the eyes first. It's free to sign up and bid on jobs. Code in Python to get the distance between two points. The xl is the distance between left camera axis and image of P on left camera image plane, and xr is the distance between the optical axis of right camera and image point of P on right camera image plane. Project the 3D points into two views and add noise:. Writing their equivalent equations will yield us following result:????? =? −? ′ =???? and? ′ are the distance between points in image plane corresponding to the scene point 3D and their camera center. i want to find Distance in Km between two address i want to do this using c# application i have two variables that contain the addresses, i. OpenCV Python Tutorials. The numerator is the distance between the vertical eye landmarks while the denominator is twice the distance between horizontal eye landmarks as there is only one set of horizontal points but two sets of vertical points. Find Correlation Between Two Signals Python. The second argument is the resolution of parameter theta in radians, which is taken as 1 radian or pi/180. A valid pair is a body part joining two keypoints, belonging to the same person. The disparity range depends on the distance between the two cameras and the distance between the cameras and the object of interest. How to find out the distance between two road lanes using opencv and python? • 7,720 points Measuring the distance between pixels on OpenCv with Python. OpenCV is a highly optimized library with focus on real-time applications. The function finds edges in the input image image and marks them in the output map edges using the Canny algorithm. Problem Name: Distance Between Two Points Find the HSV Color Value for Detecting any Color using Trackbar in OpenCV Python 22 August, 2019;. In opencv theres a feature called norm, which is described on the official opencv documentation at Operations on Arrays. This is called a depth map. Opencv Mask Circle. Surf算法是一把牛刀,我们可以很轻易的从网上或各种Opencv教程里找到Surf的用例,把例程中的代码或贴或敲过来,满心期待的按下F5,当屏幕终于被满屏花花绿绿的小圆点或者N多道连接线条霸占时,内心. How can I match keypoints in SIFT? How to set limit on number of keypoints in SIFT algorithm using opencv 3. is the distance between two cameras (which we know) and is the focal length of camera (already known). HOUGH_PROBABILISTIC. Use your help system to find out more about how to use this function. Algorithms in graphs include finding a path between two nodes, finding the shortest path between two nodes, determining cycles in the graph (a cycle is a non-empty path from a node to itself), finding a path that reaches all nodes (the famous "traveling salesman problem"), and so on. As a recap, contours in openCV are stored as vectors of Points. The second way to compare histograms using OpenCV and Python is to utilize a distance metric included in the distance sub-package of SciPy. Camera Calibration and 3D Reconstruction¶. In this video, we’ll find out how to compute and display the dense optical flow in several ways, using OpenCV functionality. The technique followed is similar to the one used to detect lines, as discussed in this article. I need to compare two photo and give verdict if the pair of photos are similar. Jan 24, 2017 · Im trying to measure the distance between two objects in a video (in pixels value), using Python and openCV. Different techniques have been proposed. The image shown above clearly shows the difference between the interesting feature and uninteresting feature. If you know how many pixels are between these two objects it's easy to convert to meters or another measure distance. I have then managed to create a skeleton between them as shown by the red line in the attached image. perspectiveTransform() to find the object. The OpenCV code here does real-time object detection in OpenCV using SURF, and also draws a bounding box around the detected object if 4 or more good matches are found. The smallest value between threshold1 and threshold2 is used for edge linking. This post is to explain how fast array manipulation can be done in Numpy. The final argument is the maximum gap between two points to be considered as the same line, which is taken as 5 pixels. One simple way of finding the valid pairs would be to find the minimum distance between one joint and all possible other joints. See the image below: 12 Chapter 1. Then I would like to use the tangents to find the the 90 degrees normal line to the tangent(the green lines). Recently, I needed to calculate the compass direction (i. I am working on python opencv. How to calculate the distance between two points using python return methods? I'm still new to python and have been trying to get the hang of it. Computer vision with OpenCV. Can this be achieved using binary image or is there any other way to achieve this ?. Hamming distance (Python recipe) This will calculate the Hamming distance (or number of differences) between two strings of the same length. Ideally I would like to be able to use mouse input to select the two points. 30+ algorithms, pure python implementation, common interface, optional external l… distance algorithm python textdistance hamming-distance levenshtein-distance damerau-levenshtein damerau-levenshtein-distance algorithms distance-calculation jellyfish diff levenshtein. Following is the syntax of this method − The following program demonstrates how to draw arrowed line on an image and display it using JavaFX window. Finally, the compare_faces computes the distance between two embedding vectors. Increase the DisparityRange when the cameras are far apart or the objects are close to the cameras. Code in Python to get the distance between two points. Typically such a transformation consists of translation and rotation. Notice: Undefined index: HTTP_REFERER in /home/forge/theedmon. Each value in the vector represents two points (X, Y). Take note that the Hamming Distance between the first two images is smaller than that of the first and third (or 2nd and 3rd). Maybe I'm not understanding the illustration, but if the lengths of the two dotted lines are the same (that is, the distance between the two points is the same in either situation) then the absence of a square root does not make a difference. By definition, a midpoint of a line segment is the point on that line segment that divides the segment in two congruent segments. GeoPy is a Python library that makes geographical calculations easier for the users. No two points in a data set are approximately at a distance of 2. The two objects I will move them up and down, and I need to measure the distance between them in real time. As the industry we need to learn and develop skills along to be a excel. One simple way of finding the valid pairs would be to find the minimum distance between one joint and all possible other joints. I used Python and OpenCV to find lines in a real time video. Francesco Piscani 13,693 views. I need to calculate the angle of rotation and displacement distance object in two frames of video with matlab. The second metric is Between Clusters Sum of Squares (BCSS), which measures the squared average distance between all cluster centroids. I want to track the distance between two rectangular blobs in binary images in real. Angle difference in degrees between two points in feature. Tutorial: Making Road Traffic Counting App based on Computer Vision and OpenCV then with the last two points in the path we are predicting new point on the same line, and finding min distance. Tools Used: Raspberry Pi, Opencv 2. Then we use Matcher. Opencv Mask Circle. The xl is the distance between left camera axis and image of P on left camera image plane, and xr is the distance between the optical axis of right camera and image point of P on right camera image plane. Now, i only get the distance if i have more than one object in the webcam frame and it gives me the distance between object1 and object2 correctly. For example, we can check the point (50,50) as follows: dist = cv2. import java. However, their closest distance is not the same as the closest distance between the lines since the distance between the points must be computed at the same moment in time. For other feature extractors like ORB and BRISK, Hamming distance is suggested. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. Facial Recognition (Technology): _____ _____ Prologue: Faces are special. python-opencv-特征点匹配连线(画线)drawMatches. drawMatches(),无法直接使用,故可参看本文第2节的drawMatches函数使用. The reason we can't use an approximated expression like that, is because when the object we are calculating on is rotated, the propositions are changed, changing the approximated result. From first article, you might have seen our next job is to label the data '0' and '1' according to distance to the centroids. It is an accuracy parameter. In the above equations, (x,y) is a point in a distorted image. Function throws away each corner for which there is a stronger corner at a distance less than maxDistance. Mahalanobis distance takes into account the co-variance in the variable data while calculating the distance between 2 points. which is maximum distance from contour to approximated contour. But, even for this i do not know how to use two cameras with opencv. The reason we can't use an approximated expression like that, is because when the object we are calculating on is rotated, the propositions are changed, changing the approximated result. Opencv Slam Tracking. The distance (or perpendicular distance) from a point to a line is the shortest distance from a fixed point to any point on a fixed infinite line in Euclidean geometry. 5 environment running on Anaconda 4. 4 only has SURF which can be directly used, for every other detectors and descriptors, new functions are used, i. In this video, we’ll find out how to compute and display the dense optical flow in several ways, using OpenCV functionality. Because the EMD is a distance between probability measures, the total weights of each of the two samples must sum to 1. Furthermore, I used MAVLink and DroneKit-Python API to establish a two-way communication channel between the on-board Raspberry Pi and the drone’s autopilot – Pixhawk 2, thereby giving it. This function is an extension of calibrateCamera() with the method of releasing object which was proposed in. the signature matrices have /// a single column). Following is the syntax of this method. OpenCV-Python Tutorials. e first variable "Fromaddress" contain 1st address abd second variable "Toaddress" contain the second address now i want to calculate the disstance from "Fromaddress" to Toaddress using c# winform application. how can we measure the distance between two lines or how to get the desired line? in my case i want to detect the tube and width of tube is 46 pixel, so i just want to draw line which has distance 46 between them and rest line should be neglect. Since GPU modules are not yet supported by OpenCV-Python, you can completely avoid it to save time (But if you work with them, keep it there). I want to track the distance between two rectangular blobs in binary images in real. First in OpenCV:. Distance Calculation Model. Opencv Slam Tracking. In this tutorial, I'll use OpenCV 3. Our goal is to obtain three elements: feature points for two images, descriptors for them, and a matching between the two sets of features. That can be fast. Euclidean distance implementation in python:. Thanks What i could do is draw a line from the centre of the car to the edge of the frame when viewed laterally. Write a program to find the square of the distance between two points. Here is the setup I am working on: There is a 15" black screen with 4 blue dots of 1cm diameter. pi*180 math. Also, to join contours, I put them in a single set and drew a convex hull for that set. but will return wrong value in Python 3 That comes from the fact that it uses the controversial "/" division operator which in python 2 returns the floor division when used with 2 integers. I know it can be done with images, but I can't find a real solution with videos. The shape context distance between two shapes is defined as the symmetric sum of shape context matching costs over best matching points. err – Output vector that contains the difference between patches around the original and moved points. FacePerf includes one face detection algorithm and two face identification algorithms. It is the length of the shortest path between 2 points on any surface. Francesco Piscani 13,693 views. Such a method is robust against changes in illumination by its nature, but has a huge drawback: the accurate registration of the marker points is complicated, even with state of the art. You may be tempted to ask why we did not use the familiar equation of the line given below. Here's a GitHub for finding the distance between two points using great circle distance: great circle distance in python There's also geopy, which has built-in methods: geopy 1. If the function is called with different values A and B of the parameter qualityLevel , and A > B, the vector of returned corners with qualityLevel=A will be the. An example of how to use solvePnP for planar augmented reality can be found at opencv_source_code/samples. I am trying to get accurate facial landmarks using the FaceTracker example as a starting point, and even thought I am resetting it and feeding fresh points with each cycle, it seems to operate in a more predictive fashion than I need. The Mahalanobis distance is a measure of the distance between a point P and a distribution D, introduced by P. ? is the distance between two cameras (which we know) and? is the focal length of camera. North, South West etc) between two points. HOUGH_PROBABILISTIC. Ball Tracking / Detection using OpenCV – the author of this tutorial shows you how to detect and track a colored ball. cdist function. I'm trying to compare a image to a list of other images and return a selection of images (like Google search images) of this list with up to 70% of similarity. The final argument is the maximum gap between two points to be considered as the same line, which is taken as 5 pixels. The two objects I will move them up and down, and I need to measure the distance between them in real time. Can this be achieved using binary image or is there any other way to achieve this ?. For example, we can check the point (50,50) as follows:. We have now reached the final installment in our three part series on measuring the size of objects in an image and computing the distance between objects. Mahalanobis in 1936. Mainly, Minkowski distance is applied in machine learning to find out distance similarity. It returns the distance which is negative when point is outside the contour, positive when point is inside and zero if point is on the contour. @param maxDistance Threshold for the distance between matched descriptors. Depending on the way a video is encoded, setting the property might not result in setting the exact frame index requested. But we still do not know what distance threshold is the best boundary for making a decision between same identity and different identity. Take note that the Hamming Distance between the first two images is smaller than that of the first and third (or 2nd and 3rd). atan2(deltaX, deltaY)/math. In case of SVM, the kernel is not defined explicitly. Figure 5: The Hamming Distance between image hashes is shown. The functions in this section use a so-called pinhole camera model. Calculates the Sampson Distance between two points. The code below shows how to take four corresponding points in two images and warp image onto the other. We mainly discuss directed graphs. Obtaining the video position and setting it is done using the cv2. Using this information, we can infer the distance of each point from the camera. I had zero experience with OpenCV before this class but have previously programmed in Python and completed a course in ML. The third argument is the minimum number of points that are needed to form a line, which is taken as 50 pixels. Cosine similarity is a measure of similarity between two vectors: basically, it measures the angle between them and returns -1 if theyre exactly opposite, 1 if theyre exactly the. If you know how many pixels are between these two objects it's easy to convert to meters or another measure distance. It is an accuracy parameter. I am trying to figure out how to quickly select two points in an image and determine the distance between the two points in x,y coordinates. It returns the distance which is negative when point is outside the contour, positive when point is inside and zero if point is on the contour. Both discuss an aspect ratio, in this case for the eyes (EAR): The six facial landmarks for the eye. How to calculate distance given an object of known size. Surf算法是一把牛刀,我们可以很轻易的从网上或各种Opencv教程里找到Surf的用例,把例程中的代码或贴或敲过来,满心期待的按下F5,当屏幕终于被满屏花花绿绿的小圆点或者N多道连接线条霸占时,内心. The second way to compare histograms using OpenCV and Python is to utilize a distance metric included in the distance sub-package of SciPy. This is some code I wrote for the reverse geocache project. OpenCV-Python Tutorials Documentation, Release 1 10. 2 Recommendations some examples of distance measure and their python. '''find the distance between a point and adjacent point on contour specified. Note that the list of points changes all the time. In order to determine the distance from our camera to a known object or marker, we are going to utilize triangle similarity. maxLevel – 0-based maximal pyramid level number. More points are preferred and use RANSAC to get a more robust result. It can be expressed parametrically as P (t) for all with P (0) = P 0 as the starting point. and Eye blink detection with OpenCV, Python, and dlib. Next we create a BFMatcher object with distance measurement cv2. You can compute farthest distance between any two points after coming up with the convex hull of the points set in O(h) algorithm using brute force or O(log h) algorithm using binary search like method. Initialize values. Human faces are a unique and beautiful art of nature. Im currently doing dist. really fast, whatever is provided by OpenCV is also given by Matlab(R) image processing toolbox that too in easy way or. This includes versions following the Dynamic programming concept as well as vectorized versions. The code I have so far finds the two objects and measure the distance between the two objects in the first frame, but not continiously as the objects move in the video.