关键词: 目标跟踪, 光照变化, 目标遮挡, 局部敏感直方图, 多区域跟踪

Abstract: In order to reduce the influence of illumination variation and target occlusion on moving object tracking, this paper proposes a multi-region target tracking algorithm based on improved local sensitive histogram. First, the localized sensitive histogram is improved and its fast algorithm is designed. Then, the improved local sensitive histogram is used as the target modeling method in the multi-region tracking algorithm to improve the accuracy of the target modeling and reduce the computational complexity of feature extraction. Finally, the method of parameter estimation based on statistical ranking and least squares estimation is adopted to compute the similarity between the whole object and template, which is needed to fuse the similarity of each region block in the multi-region tracking algorithm. Experimental results show that the algorithm can effectively cope with the interference of illumination changes, object deformation and occlusion, achieving real-time robust object tracking.

Key words: object tracking, illumination variation, target occlusion, locality sensitive histogram, multi-region tracking