Research on moving vehicles tracking algorithm based on feature points and AKF | |
Wang, Jinhua1; Li, Yu1; Ren, Chongyu1; Cao, Jie2 | |
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
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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. |
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