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, Jinhua1 ; Li, Yu1 ; Ren, Chongyu1 ; Cao, Jie2
	2009
会议名称	2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
会议录名称	Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
会议日期	December 19, 2009 - December 20, 2009
会议地点	Wuhan, China
出版者	IEEE Computer Society
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.
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
收录类别	EI
语种	英语
EI入藏号	20101212791811
EI主题词	Tracking (position)
来源库	Compendex
分类代码	652.1 Aircraft, General - 654.1 Rockets and Missiles - 655.1 Spacecraft, General - 656.1 Space Flight - 671.1 Ship Design - 703.2 Electric Filters - 716 Telecommunication; Radar, Radio and Television - 716.1 Information Theory and Signal Processing - 716.2 Radar Systems and Equipment - 721 Computer Circuits and Logic Elements - 722 Computer Systems and Equipment - 723 Computer Software, Data Handling and Applications - 723.5 Computer Applications - 731.1 Control Systems - 741.1 Light/Optics - 751.1 Acoustic Waves - 921 Mathematics
引用统计	无
文献类型	会议论文
条目标识符	https://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
第一作者单位	兰州理工大学
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]:IEEE Computer Society,2009.