Novel Active Contour Model for Object Tracking Based on the Potential Energy of Shape Restriction
MIN Li1,2,3, HUANG ShaBai1, SHI ZeLin1, TANG YanDong1
1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016 2.Graduate School, Chinese Academy of Sciences, Beijing 100039 3.College of Science, Shenyang Jianzhu University, Shenyang 110015
Abstract：A novel active contour model for object tracking based on shape restriction is presented in this paper. Contour curvature prior is used to define potential energy of shape restriction and then integrated with region and gradient information of image to formulate the active contour model for tracking. With curvature restriction, this model can correct the wrong deformation caused by weak gradient of object boundary and cluttered background. It also maintains the overall structure of object and tracks object with irregular shape in image sequences. Furthermore, the initial contour is estimated using affine transformation based on the blockmatching. The model is applied to tracking IR car target in cluttered background and aircraft target in image sequences. Experimental results show that the proposed model has robust tracking performance in cluttered background and shapepreserving.
闵莉，黄莎白，史泽林，唐延东. 一种基于形状约束势能的主动轮廓跟踪算法*[J]. 模式识别与人工智能, 2006, 19(2): 161-166.
MIN Li, HUANG ShaBai, SHI ZeLin, TANG YanDong. Novel Active Contour Model for Object Tracking Based on the Potential Energy of Shape Restriction. , 2006, 19(2): 161-166.
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2006, Vol. 19 
