Particle filter tracking target based on OpenCV
2016-08-23
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Particle filtering method is defined by searching for a group spread in state space random sample to approximate the probability density function of, to the sample mean instead of integral operation, so as to obtain the minimum variance state distribution of the process.Key Technology
First of all, the video is converted to HSV color space, the color and saturation of the information provided by the information and brightness, the new version of the calcHist to do the feature histogram. The initialization phase is on the mouse to select the target region histogram feature extraction, and enter the search stage, popular speak is to be search area into a large number of particle particle into the rules of particle has a lot of, used here is that particle distribution is Gaussian distribution, the feature histogram is computed for each particle in the area where the, and the target area and compares the characteristics, somec++
opencv
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