Title :
A particle filtering algorithm for tracking moving target under Clutter
Author :
Liu, Guocheng ; Wang, Yongji
Author_Institution :
Chinese Educ. Minist. Key Lab. for Image Process.&Intell. Control, Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
On visual tracking, a particle filter algorithm was presented to track a moving target under clutter environment which can deal with rotation, scale changes, variations in the light source and partial occlusions. So it can track the target with robustness. The proposed method was based on particle filter, integrated with color histogram in the measurement model, and the system model was second order autoregressive process. The algorithm took into account the latest observations and the tracked target can be rigid or non-rigid. Also the method can run in real-time. The experimental results confirm that the method is effective even when the monocular camera is moving and the target object is partially occluded in a clutter background.
Keywords :
clutter; particle filtering (numerical methods); target tracking; clutter environment; color histogram; measurement model; monocular camera; moving target tracking; particle filtering algorithm; second order autoregressive process; visual tracking; Autoregressive processes; Color; Filtering algorithms; Histograms; Light sources; Particle filters; Particle measurements; Particle tracking; Robustness; Target tracking; color histogram; particle filter; visual tracking;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593774