First with the background to complete the goal differential extraction, will be placed in the moving target relevant information to the list, the completion of multi-target tracking by frame difference, achieve real-time requirementsMoving target relevant information stored in the structure, it is p...
My project was to create a unique attendence system which detects the faces of the students present and marks their attendence accordingly. We got face detection code from the above link and modified it further decreasing redundencies and errors particular to our project. we achieved 93% accuracy. N...
&Nbsp;vs2013 Gaussian mixture modeling separating foreground and background in the video, using the OpenCV library functions that code can achieve clear, we can look at...
Computer Vision is in many ways the ultimate sensor, and has endless potential applications to robotics. The hand tracking is based on color recognition. The program is therefore initialized by sampling color from the hand.The hand is then extracted from the background by using a threshold using the...
This program can be used in shopping malls or bus number of import and export statistics, Using OpenCV acquisition camera, statistics, and can be used for market test procedures for import and export...
Overall Functions: Automatic vehicle tracking, detecting and photographing, locating and recognitionTracking and photographing functions can hardly be regarded as fulfilled Fulfilled Function: object tracking in a video: circle the object manually first; an USB cameraFor a vehicle license plate...
Using camshaft can lose tracking target sometimes. A kalman filter can be added to predict the next possible position of the target to reduce the chance of target loss. Camshift algorithm is based on mean-shift algorithm, which is a procedure for locating the maxima of a density function given discr...
Foreign cow multi object tracking Matlab code, including test data, papers. includes background modeling, object tracking, track Association, forecast...
There is a demo for pedestrian detection and some photos for testing in this compressed file. With the libraries of OpenCV 2.3.0, I detect the pedestrians using the default classifier. The feature is Histograms of Oriented Gradients and the classified method is Support Vector Mach...
Opencv with c and achieve dynamic gesture recognition using hmm algorithm, which has the full implementation of HMM, and to achieve recognition and down about five circle gesture. Hmm learning a great help...
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