Learning weighted part models for object tracking
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- 作者：Chaoyang Zhao ; Jinqiao Wang ; jqwang@nlpr.ia.ac.cn" class="auth_mail" title="E-mail the corresponding author ; Guibo Zhu ; Yi Wu ; Hanqing Lu
- 关键词：Part graph model ; Gaussian Mixture Model ; Weighted model
- 刊名：Computer Vision and Image Understanding
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：143
- 期：Complete
- 页码：173-182
- 全文大小：7466 K
文摘
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Part models are formulated with a graph structure for object tracking.
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Weighted part models are used to handle target appearance change and occlusion.
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GMMs are used as weight models for describing dynamic evolution of object parts.
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Weight models are used to dynamically adjust the part appearance models.
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Weight models are used to control the sample selections for part model update.