Real-Time Tracking of Athletes in Diving Training Videos
This paper presents a system for real-time tracking of athletes in diving training scenes. The system employs a cascade framework, and only certain regions of interest (ROI) where the athletes could appear are processed. First, background subtraction method is performed in current ROI to extract foreground regions; then, non-human foreground objects such as the springboards are excluded using prior information; next the ROI is modified so that in next frame the athlete would still be in it; finally, a fast curve-fitting algorithm is proposed to get the contour of the athlete. The curve-fitting algorithm is not sensitive to initial curve position and is able to overcome small gaps, which exist commonly in the foreground regions. The system runs at 25 HZ for 720 × 576 color images on a P4 3.0GHZ PC.
Zhuoqing WU Yi ZHANG
Dept. of Automation TsingHua University Beijing, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
533-537
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)