Multi-target tracking method based on multi-model fusion and data association
A multi-target tracking and data association technology, which is applied in the fields of image processing, video detection and artificial intelligence cross-technology applications, and can solve the problems such as the failure of automatic recovery of the target reappearance, the inability to meet the requirements of real-time performance, and the inability to continue to track accurately. Achieve the effect of reducing the interference of light and background noise, good real-time performance and robustness, and fast processing speed
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[0043] According to the attached figure 1 , The specific implementation of the present invention is:
[0044] 1) Input a video sequence S={f 1 ,f 2 ,...,f 50 }, f i Is the i-th lens frame, represented by a two-dimensional matrix with a size of 50*50, and the video lens S is processed by the inter-frame difference method to obtain the moving target contour and centroid coordinates. The specific steps are as follows:
[0045] 1.1) Take f in the video lens S 1 , F 2 Take the example of gray-scale processing to obtain gray-scale difference image f 1 ', f' 2 For f 1 ', f' 2 For each pixel in j, calculate D 2 (j)=f′ 2 (j)-f 1 '(j), when D 2 (j) Meet the decision equation:
[0046] D 2 (j)>T, judge j as the former scenic spot;
[0047] D 2 (j)≤T, judge j as a background point.
[0048] Get the moving target contour D 2 Then the center point coordinates are stored as the centroid coordinates of the moving target in the Point type variable detection, and the same processing is performed on the...
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