Title :
Study on Moving Object Tracking Algorithm in Video Images
Author :
Wei, Liang ; Jianhua, Wang ; Qin, Li
Author_Institution :
Mech. Eng. Coll., Shijiazhuang
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;
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
DOI :
10.1109/ICEMI.2007.4350803
