DocumentCode
2042047
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
Volume
5
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2324
Lastpage
2327
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569825
Filename
5569825
Link To Document