A field transition particle filter tracking algorithm

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	A field transition particle filter tracking algorithm
	Xu DJ(徐德江); Shi ZL(史泽林); Yu XR(于新荣); Ding QH(丁庆海); Luo HB(罗海波)
	2011
会议名称	International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
会议日期	May 24-26, 2011
会议地点	Beijing, China
页码	6 pp.
中文摘要	Visual tracking is a critical task in many computer vision applications such as surveillance, vehicle tracking, and motion analysis. The challenges in designing a robust visual tracking algorithm are caused by the presence of background clutter, occlusion, and illumination changes. In this paper, we propose a visual tracking algorithm in a particle filter framework to overcome these three challenging issues. Particle filter is an inference technique for estimating the unknown motion state from a noisy collection of observations, so we employ particle filter to learn the trajectory of a target. The proposed algorithm depends on the learned trajectory to predict the position of a target at a new frame, and corrects the predication by a process that can be entitled field transition. At the beginning of the tracking stage, a set of disturbance templates around the target template are accurately selected and defined as particles. During tracking, a position of the tracked target is firstly predicted based on the learned motion state, and then we take the normalized cross-correlation coefficient as a level to select the most suitable field transition parameters of the predicted position from the corresponding parameters of the particles. After judging the target is not occluded, we apply the named field transition with the selected parameters to compensate the predicted position to the accurate location of the target, meanwhile, we make use of the calculated cross-correlation coefficient as a posterior knowledge to update the weights of all the particles for the next prediction. In order to evaluate the performance of the proposed tracking algorithm, we test the approach on challenging sequences involving heavy background clutter, severe occlusions, and drastic illumination changes. Comparative experiments have demonstrated that this method makes a more significant improvement in efficiency and accuracy than two previously proposed algorithms: the mean shift tracking algorithm (MS) and the covariance tracking algorithm (CT).
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Proceedings of the SPIE - The International Society for Optical Engineering
会议录出版者	SPIE - The International Society for Optical Engineering
会议录出版地	USA
语种	英语
WOS记录号	WOS:000297573900008
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/7939]
专题	沈阳自动化研究所_光电信息技术研究室
推荐引用方式 GB/T 7714	Xu DJ,Shi ZL,Yu XR,et al. A field transition particle filter tracking algorithm[C]. 见:International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications. Beijing, China. May 24-26, 2011.