Object Tracking Using HRR-based Background Construction with Shadow Removal

• Main Authors: Yang-Chen Tian, 田揚臣
• Other Authors: J. D. Lee
• Format: Others
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/69541560871724691941

碩士 === 長庚大學 === 電機工程學研究所 === 96 === This study presents a pixel-wise statistical approach to distinguish every pixel into foreground, background, shadow or highlight for foreground detection. The modified RGB color model is proposed to effectively reduce misclassifying the foreground pixels into highlights. The modified Highest Redundancy Ratio (HRR)-based background update method is also proposed to overcome the lighting variation problems in background reconstruction. In tracking procedure, a decision function with low computational complexity is proposed to sequentially evaluate the objects’ correlation between consecutive frames. The decision function consists of the objects’ centroid distances, objects’ area differences, and objects’ overlapping areas between current frame and previous frame. As documented in experimental results, the proposed method can achieves high matching rate, which is great advantageous in smart surveillance systems.