Title :
A robust algorithm for tracking object under occlusion and illumination change
Author :
Hong Lu ; Hongsheng Li ; Wenlin Zou ; Shumin Fei
Author_Institution :
Sch. of Autom., Nanjing Inst. of Technol., Nanjing, China
Abstract :
An adaptive threshold value (ATV) and two-orthogonal-orientation edge correlogram (TOEC) based algorithm is proposed for tracking moving object in real scenarios. The ATV is used to extract the object edges under illumination changes. To improve the object edges representation power, the TOEC encodes the edge orientation pair levels along two orthogonal directions explicitly. An entropy weighting-maximization scheme is presented to achieve the maximum likelihood estimation of the similar regions and scales. Experimental results show that the proposed approach is appealing with respect to the robustness in the scenarios of complex occlusions and illumination variations.
Keywords :
computer graphics; object tracking; robust control; adaptive threshold value; edge orientation pair level; entropy weighting maximization scheme; illumination change; illumination variation; maximum likelihood estimation; moving object tracking; occlusion; robust algorithm; two orthogonal orientation edge correlogram; Image color analysis; Image edge detection; Kalman filters; Lighting; Robustness; Target tracking; adaptive threshold value; edge correlogram; entropy weighting metric; object tracking; two-orthogonal-orientation;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485391
