DocumentCode :
2659283
Title :
An algorithm of visual target tracking on monocular camera based on particle filter
Author :
Guocheng, Liu ; Yongji, Wang
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ., Wuhan
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
472
Lastpage :
476
Abstract :
An improved particle filter algorithm was presented to track a moving target under natural environment, in which the color histogram was integrated with the measurement model, the latest observations was taken into account and the system model is the second order autoregressive process. The proposed method can deal with rotation and scale transformation, variations in the light source and partial occlusions, and the tracked target can be rigid or non-rigid. The demonstration examples showed that the method can track the target with robustness in real-time.
Keywords :
autoregressive processes; cameras; image colour analysis; image sensors; particle filtering (numerical methods); target tracking; measurement model; monocular camera; particle filter algorithm; rotation-scale transformation; second order autoregressive process; visual target tracking; Autoregressive processes; Cameras; Color; Histograms; Light sources; Particle filters; Particle measurements; Particle tracking; Robustness; Target tracking; Color histogram; Particle filter; Visual tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605101
Filename :
4605101
Link To Document :
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