Research on moving vehicles tracking algorithm based on feature points and AKF

doi:10.1109/ICIECS.2009.5362536

	Research on moving vehicles tracking algorithm based on feature points and AKF
	Wang, Jinhua 1; Li, Yu 1; Ren, Chongyu 1; Cao, Jie 2
	2009
会议日期	December 19, 2009 - December 20, 2009
会议地点	Wuhan, China
关键词	Adaptive filtering Adaptive filters Kalman filters Maneuverability Adaptive kalman filter Adaptive Kalman filtering Fast-Tracking Feature points Feature points matching Moving vehicles Real time tracking Tracking algorithm
DOI	10.1109/ICIECS.2009.5362536
英文摘要	In order to solve the problem of real-time factor and accuracy factor in video image tracking, we present a real-time tracking algorithm of moving vehicle based on feature points. We provide a simple and practical feature points matching algorithm using Adaptive Kalman Filter(AKF). The results of simulation experiments show that the algorithm performs well in fast tracking maneuvering target, which can not only describe the target accurately, but decrease the time of matching computation. ©2009 IEEE.
会议录	Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116386]
专题	电气工程与信息工程学院兰州理工大学
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China; 2.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Wang, Jinhua,Li, Yu,Ren, Chongyu,et al. Research on moving vehicles tracking algorithm based on feature points and AKF[C]. 见:. Wuhan, China. December 19, 2009 - December 20, 2009.