19 August 2010 Study on vision object tracking based on adaptive object segmentation
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Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782014 (2010) https://doi.org/10.1117/12.866384
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
Abstract
In order to solve the object tracking under occlusion, the adaptively tracking algorithm is proposed based on color features. The object is adaptively divided using fuzzy k-means clustering algorithm, and the sub-regions are weighted with monotone decreasing kernel function. The object model is updated through mean value of sub- regions' colors, so the calculation is simple. During the object tracking, the method of integral matching is used; combining with the adaptive Kalman filter, the object tracking under occlusion is resolved effectively. The experiments show that the new algorithm can track the object exactly.
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Hui-Juan Hao, Hui-Juan Hao, Ji-Yong Xu, Ji-Yong Xu, Guang-Qi Liu, Guang-Qi Liu, } "Study on vision object tracking based on adaptive object segmentation", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782014 (19 August 2010); doi: 10.1117/12.866384; https://doi.org/10.1117/12.866384
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