Object tracking algorithm based on contextual visual saliency

doi:10.1117/12.2243216

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 光电探测与信号处理研究室（五室）

	Object tracking algorithm based on contextual visual saliency
	Fu, Bao 1,2; Peng, Xianrong 1
刊名	Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment
	2016
卷号	9684 页码:96842O
关键词	Image Segmentation Manufacture Optical Testing Target Tracking Tracking (Position) Visualization
ISSN号	0277-786X
DOI	10.1117/12.2243216
文献子类	C
英文摘要	As to object tracking, the local context surrounding of the target could provide much effective information for getting a robust tracker. The spatial-Temporal context (STC) learning algorithm proposed recently considers the information of the dense context around the target and has achieved a better performance. However STC only used image intensity as the object appearance model. But this appearance model not enough to deal with complicated tracking scenarios. In this paper, we propose a novel object appearance model learning algorithm. Our approach formulates the spatial-Temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between high-level features (Circular-Multi-Block Local Binary Pattern) from the target and its surrounding regions. The tracking problem is posed by computing a visual saliency map, and obtaining the best target location by maximizing an object location likelihood function. Extensive experimental results on public benchmark databases show that our algorithm outperforms the original STC algorithm and other state-of-The-Art tracking algorithms. © 2016 SPIE.
语种	英语
WOS记录号	WOS:000387429500096
资助机构	Chinese Academy of Sciences, Institute of Optics and Electronics (IOE) ; The Chinese Optical Society (COS)
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/8515]
专题	光电技术研究所_光电探测与信号处理研究室（五室）
作者单位	1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 2.610209, China 3.University of Chinese Academy of Sciences, Beijing 4.100039, China
推荐引用方式 GB/T 7714	Fu, Bao,Peng, Xianrong. Object tracking algorithm based on contextual visual saliency[J]. Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment,2016,9684:96842O.
APA	Fu, Bao,&Peng, Xianrong.(2016).Object tracking algorithm based on contextual visual saliency.Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment,9684,96842O.
MLA	Fu, Bao,et al."Object tracking algorithm based on contextual visual saliency".Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment 9684(2016):96842O.