QQ客服 官方微博 反馈留言

	Online tracking via stabilizer and attractor
	Ao, Xiang ; Guo, Feng ; Lin, Ying ; Dong, Jie ; Guo F(郭峰) ; Lin Y(林颖)
	2014
关键词	Algorithms Benchmarking Kalman filters Stabilizers (agents)
英文摘要	Conference Name:3rd International Conference on Information Technology and Management Innovation, ICITMI 2014. Conference Address: Shenzhen, China. Time:July 19, 2014 - July 20, 2014.; Chungbuk National University, Korea; Hong Kong Industrial Technology Research Centre; Inha University; Korea Maritime University; National Chengchi University, Taiwan; Queensland University of Technology; In this paper, we propose a novel, online, long-term tracking algorithm to track objects that possess fairly regular motion. Our tracker contains two terms: stabilizer and attractor. The stabilizer narrows the candidate location of an object at the next frame in a sequence by employing the Kalman filter, which enhances the speed of our tracker and brings stability. The attractor is an inner template of an object consisting of Harris corner pairs. By excluding distractors with a different inner template, our tracker is discriminative and accurate. Experiments on several benchmark sequences show our competitive performance. ? 2014 Trans Tech Publications, Switzerland.
语种	英语
出处	http://dx.doi.org/10.4028/www.scientific.net/AMM.631-632.446
出版者	Trans Tech Publications Ltd
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86931]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Ao, Xiang,Guo, Feng,Lin, Ying,et al. Online tracking via stabilizer and attractor. 2014-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。