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	Stereo context for robust object tracking
	Xie, Yating ; Wang, Da-Han ; Wang, Hanzi ; Wang DH(王大寒) ; Wang HZ(王菡子)
	2014
关键词	Internet Stereo image processing Tracking (position) Video streaming
英文摘要	Conference Name:6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014. Conference Address: Xiamen, China. Time:July 10, 2014 - July 12, 2014.; National Natural Foundation of China; SIGMM China Chapter; Xiamen University; Context has been successfully applied to 2D image processing in the tasks of object detection, object recognition, etc. However, it is usually ignored in 3D object tracking. In this paper, we propose a stereo context-based object tracker that explores 3D context information for collaborative tracking in binocular video streams. The target is located by voting from companions, which are keypoints that have strong 3D motion correlations to the target. The companions are obtained by using spatial-temporal constraints in 3D space. Quantitative experimental results on challenging video sequences demonstrate the robustness and superior performance of the proposed tracker. Copyright 2014 ACM.
语种	英语
出处	http://dx.doi.org/10.1145/2632856.2632950
出版者	Association for Computing Machinery
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85907]
专题	数学科学－会议论文
推荐引用方式 GB/T 7714	Xie, Yating,Wang, Da-Han,Wang, Hanzi,et al. Stereo context for robust object tracking. 2014-01-01.

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