Title :
Research on moving object detection and tracking
Author :
Xiao, Liang ; Li, Tong-qiang
Author_Institution :
Coll. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Abstract :
To detect and track objects, some approaches of detecting and tracking moving objects in stationary scene are presented, including the detection methods of the time domain differential method, the background differential method, optical flow method and tracking methods of the Kalman filter and feature optical flow.
Keywords :
Kalman filters; image motion analysis; image sequences; object detection; target tracking; time-domain analysis; Kalman filter; background differential method; feature optical flow; moving object detection; moving object tracking; optical flow method; time domain differential method; Computer vision; Image motion analysis; Kalman filters; Optical filters; Optical imaging; Optical sensors; Target tracking; Kalman filter; background model; moving object detection and tracking; optical flow;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569825
