Knowledge Commons of Institute of Automation,CAS
Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation | |
Hu, Weiming1; Li, Wei1; Zhang, Xiaoqin1; Maybank, Stephen2 | |
发表期刊 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
2015-04-01 | |
卷号 | 37期号:4页码:816-833 |
文章类型 | Article |
摘要 | In this paper, we propose a tracking algorithm based on a multi-feature joint sparse representation. The templates for the sparse representation can include pixel values, textures, and edges. In the multi-feature joint optimization, noise or occlusion is dealt with using a set of trivial templates. A sparse weight constraint is introduced to dynamically select the relevant templates from the full set of templates. A variance ratio measure is adopted to adaptively adjust the weights of different features. The multi-feature template set is updated adaptively. We further propose an algorithm for tracking multi-objects with occlusion handling based on the multi-feature joint sparse reconstruction. The observation model based on sparse reconstruction automatically focuses on the visible parts of an occluded object by using the information in the trivial templates. The multi-object tracking is simplified into a joint Bayesian inference. The experimental results show the superiority of our algorithm over several state-of-the-art tracking algorithms. |
关键词 | Visual Object Tracking Tracking Multi-objects Under Occlusions Multi-feature Joint Sparse Representation |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | VISUAL TRACKING ; ROBUST ; MODELS ; COLOR ; OPTIMIZATION ; RECOGNITION ; CONTEXT ; FILTER |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000351213400009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8089 |
专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
作者单位 | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Univ London Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Hu, Weiming,Li, Wei,Zhang, Xiaoqin,et al. Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2015,37(4):816-833. |
APA | Hu, Weiming,Li, Wei,Zhang, Xiaoqin,&Maybank, Stephen.(2015).Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,37(4),816-833. |
MLA | Hu, Weiming,et al."Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 37.4(2015):816-833. |
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