Occlusion Detection via Structured Sparse Learning for Robust Object Tracking

	Occlusion Detection via Structured Sparse Learning for Robust Object Tracking
	Zhang, Tianzhu1 ; Ghanem, Bernard 2; Xu, Changsheng3 ; Ahuja, Narendra 4
发表期刊	Advances in Computer Vision and Pattern Recognition
	2014
期号	71 页码:93-112
摘要	Sparse representation based methods have recently drawn much attention in visual tracking due to good performance against illumination variation and occlusion. They assume the errors caused by image variations can be modeled as pixel-wise sparse. However, in many practical scenarios, these errors are not truly pixel-wise sparse but rather sparsely distributed in a structured way. In fact, pixels in error constitute contiguous regions within the object’s track. This is the case when significant occlusion occurs. To accommodate for nonsparse occlusion in a given frame, we assume that occlusion detected in previous frames can be propagated to the current one. This propagated information determines which pixels will contribute to the sparse representation of the current track. In other words, pixels that were detected as part of an occlusion in the previous frame will be removed from the target representation process. As such, this paper proposes a novel tracking algorithm that models and detects occlusion through structured sparse learning. We test our tracker on challenging benchmark sequences, such as sports videos, which involve heavy occlusion, drastic illumination changes, and large pose variations. Extensive experimental results show that our proposed tracker consistently outperforms the state-of-the-art trackers.
关键词	Tracking
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20488
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.dvanced Digital Sciences Center of Illinois, Singapore, Singapore 2.King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 3.Institute of Automation, Chinese Academy of Sciences, CSIDM, People’s Republic of China 4.University of Illinois at Urbana-Champaign, Urbana, IL, USA
推荐引用方式 GB/T 7714	Zhang, Tianzhu,Ghanem, Bernard,Xu, Changsheng,et al. Occlusion Detection via Structured Sparse Learning for Robust Object Tracking[J]. Advances in Computer Vision and Pattern Recognition,2014(71):93-112.
APA	Zhang, Tianzhu,Ghanem, Bernard,Xu, Changsheng,&Ahuja, Narendra.(2014).Occlusion Detection via Structured Sparse Learning for Robust Object Tracking.Advances in Computer Vision and Pattern Recognition(71),93-112.
MLA	Zhang, Tianzhu,et al."Occlusion Detection via Structured Sparse Learning for Robust Object Tracking".Advances in Computer Vision and Pattern Recognition .71(2014):93-112.

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