Automatic Stable Scene based Moving Multi-target Detection and Tracking
Tao Gao, Zhenjing Yao, Ping Wang, Chengshan Wang, Jingsong Yang · Journal of Computers · 2011
Abstract — A method for moving multi-target detection and tracking in stable scene is presented. Optical flow is used to extract the velocity of pixels, and targets are recognized by combining motion character points obtained by binary discrete wavelet transforms (BDWT). A discrete kalman filter is used to track targets in the follow-up frames; the center and scale of tracking window are updated by a Mexico wavelet kernel function mean shift method which is embedded into the discrete kalman filter framework to stabilize the trajectories of the targets for robust tracking during mutual occlusion. The method is tested on several frame sequences and shown to achieve robust and reliable frame-rate detection and tracking. Index Terms—multi-target detection, multi-target tracking, discrete kalman filter, mean shift, Mexico wavelet, BDWT I.