Moving Object Detection and Tracking in Indoor Environment
An approach to detect and track moving objects in indoor environment is presented in this paper. HSI model is first adjusted for better motion detection; then based on the improved HSI model, the background subtraction and the frame difference are effectively used to overcome light changing and to detect moving objects in indoor environment; finally based on Camshift and kalman filter, the detected objects are tracked in real time. With video recorded ahead experiments are realized and the results validate that the approach presented in this paper is feasible and reliable.
indoor environment motion detection object tracking HSI model camshift and klaman filter
Shucai Wang Liying Su Kun Wang Yueqing Yu
College of Mechanical Engineering and Applied Electronics Technology Beijing University of Technology Beijing, China
国际会议
哈尔滨
英文
976-979
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）