DocumentCode
1726637
Title
Study on Moving Object Tracking Algorithm in Video Images
Author
Wei, Liang ; Jianhua, Wang ; Qin, Li
Author_Institution
Mech. Eng. Coll., Shijiazhuang
fYear
2007
Abstract
Moving object tracking algorithm in video images is studied. Mean shift is optimization algorithm based on gradient descended, which tracks moving object through iteration. While particle filter is a robust method of tracking in non-gauss and non-linear case. Considering the excellence and disadvantage of mean shift and particle filter algorithm, a tracking algorithm based upon the two methods is proposed. Experiments show that the method can tracking moving objects efficiently, even in the situation of occlusion.
Keywords
optimisation; particle filtering (numerical methods); tracking filters; video signal processing; gradient descent algorithm; mean shift algorithm; moving object tracking algorithm; optimization algorithm; particle filter algorithm; robust method; video images; Educational institutions; Histograms; Instruments; Mechanical engineering; Mechanical variables measurement; Particle filters; Particle tracking; Robustness; Statistical distributions; Videoconference; Moving object tracking; mean shift; particle filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1136-8
Electronic_ISBN
978-1-4244-1136-8
Type
conf
DOI
10.1109/ICEMI.2007.4350803
Filename
4350803
Link To Document