Image segmentation and proto-objects detection based visual tracking

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• 作者：Xin Yang^a ; ^{yangxin@nuaa.edu.cn} ; Yanpei Zhou^a ; Dake Zhou^a ; Yinji Hu^b
• 关键词：Visual tracking ; Proto-objects detection ; PLSA model ; Segmentation approaches
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：131
• 期：Complete
• 页码：1085-1094
• 全文大小：3552 K
• 卷排序：131

文摘

Considering the phenomenon that the traditional visual tracking methods are prone to drift in the process of tracking, we propose a visual tracking approach based by image segmentation and proto-objects detection in this paper. Firstly, according to combining several segmentation approaches and topic model, the proto-objects are detected for a given image sequence. Then the final target position is given on the basis of proto-objects information. The coinstantaneous tracking of these proto-objects improves computational efficiency and tracking robustness. Detailed experimental results show that the proposed method perform better than the state of the art in anti-occlusion and illumination change.