首页 | 本学科首页   官方微博 | 高级检索  
     

基于Mean-shift的多目标跟踪算法的设计
引用本文:杨伟,柴奇,王黎明,闫俊丰. 基于Mean-shift的多目标跟踪算法的设计[J]. 红外, 2009, 30(3): 39-42
作者姓名:杨伟  柴奇  王黎明  闫俊丰
作者单位:合肥电子工程学院安徽省红外与低温等离子体重点实验室,安徽,合肥,230037;61906部队,河北,廊坊,065001
基金项目:安徽省重点实验室基金 
摘    要:针对视频序列中目标的跟踪问题,提出了一种基于模版匹配的多目标跟踪算法.该算法提取目标模版灰度分布特征,并在目标匹配过程中采用Bhattacharyya系数在图像中寻找相似性最高的区域.仿真结果表明,用该算法进行多目标跟踪时,跟踪性能远优于其它特征匹配算法和多模型算法,而且计算量小,能保证跟踪的实时性.

关 键 词:mean-shift  多目标跟踪  特征匹配
收稿时间:2008-11-10

Design of Multi-target Tracking Algorithm based on Mean-shift
YANG Wei,CHAI Qi,WANG Li-ming,YAN Jun-feng. Design of Multi-target Tracking Algorithm based on Mean-shift[J]. Infrared, 2009, 30(3): 39-42
Authors:YANG Wei  CHAI Qi  WANG Li-ming  YAN Jun-feng
Affiliation:1.Key Lab of Infrared and Low Temperature Plasma of Anhui Province;Hefei Electronic Engineering Institute;Hefei 230037;China;2.61906 Army;Langfang 065001;China
Abstract:Aiming at the tracking problem of targets in video sequence images,a multi-target tracking algorithm based on region matching is proposed.This algorithm can extract the grey level distribution features in a target region.In the matching process of targets,it uses the Bhattacharyya modulus to search the most similar regions in images.The simulation result shows that the tracking performance of this algorithm is much better than that of other feature matching and multi-model algorithms.The algorithm has a sma...
Keywords:mean-shift
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号