Multi-moving targets detecting and tracking in a surveillance system
Aiming at the selection and refreshment of background, moving objects detecting, sequence matching, research on multi-moving targets detecting and tracking based on single fixed camera was performed. Firstly, a recursive filter in temporal domain to form the reference image for adaptive background updating was highlighted. Then foreground was separated from background based on difference between reference image and current image. Secondly, moving regions in foreground were extracted through analysis on connected binary foreground image. Detected binary regions were then grouped into moving targets based on fuzzy clustering analysis. Thirdly, an extended Kalman filter and C-constant velocity Kalman tracking algorithm were presented for the matching and tracking multi-moving targets represented by region. Finally, experiments on outdoors video streams have demonstrated the significant performance of proposed strategies.