Institutional Repository of Coll Elect & Informat Engn
Research on moving vehicles tracking algorithm based on feature points and AKF | |
Wang, Jinhua1![]() ![]() ![]() ![]() | |
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. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论