Surveillance video in the classroom to achieve multi-target intelligent tracking study raises the prospect of improved CamShift algorithm based on the detection correction and gradient features. The algorithm uses the convergence speed segmented partitions adjustable background reconstruction algorithm for video sequences background and foreground detection reconstruction. Considering the prospects of the test results, the image gradient and color features, make CamShift target tracking. The algorithm can adaptively adjust the gradient and color feature fusion proportion of light has a certain extent. Developed the experimental software, simulation results show the effectiveness of the proposed algorithm for solving the waste problem classroom lighting electricity to provide a viable solution.

基于机器视觉的教室多目标跟踪算法设计与实现_李骈臻.pdf

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