Title :
Determining the feasible set of motion states in target tracking using extended set-membership filter
Author :
Qiu, Quan ; Zheng, Wengang ; Han, Jianda
Author_Institution :
Dept. of Agric. Autom., Beijing Res. Center of Intell. Equip. for Agric., Beijing, China
Abstract :
This paper presents a new object recognition strategy for target tracking using extended set-membership filter (ESMF). Before the target recognition algorithms are applied on the sensory information, ESMF is employed to determine the demarcation of a guaranteed searching area in which the true position of the target can be certainly found. Then the target recognition algorithms will work in a smaller region rather than searching in the whole range of the sensory information. The new strategy can improve the speed and accuracy of the target recognition algorithms. Experiments are conducted to prove the feasibility of the strategy.
Keywords :
filtering theory; image motion analysis; object recognition; object tracking; search problems; set theory; target tracking; ESMF; extended set-membership filter; guaranteed searching area; motion state; object recognition strategy; sensory information; target recognition algorithm; target tracking; target true position; Computer vision; Ellipsoids; Estimation; Noise; Optical filters; Target recognition; Target tracking; Extended Set-Membership Filter; Feasible Set; Target Tracking;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359119