OpenCV(open source computer vision library)-based video target tracking algorithm
A target tracking and algorithm technology, applied in the field of video data analysis, can solve problems such as mistracking, unsupported updating of tracking objects, and large impact of environmental changes
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[0030] The present invention matches the selected template with the video frame, finds out the position of the sub-picture most similar to the template image in the video image, performs correlation coefficient matching calculation, and compares the matched position of this frame with the predicted result obtained from the previous frames. Positions are compared to decide whether to update the current template.
[0031] First, create an OpenCV project in the Visual C++6.0 environment, and then call the appropriate API to open the camera and obtain the image frames captured by the camera for video tracking according to the type of camera and operating system. The specific algorithm and operation are as follows Steps to proceed:
[0032] (1), template matching
[0033] See attached figure 1 ~ attached figure 2 , take the known small image of m×n pixels as the template T, superimpose the template T on the searched large image S of W×H pixels, and translate the search target, ...
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