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一种视频图像序列中运动对象的分割与跟踪算法
引用本文:王成儒,刘豫. 一种视频图像序列中运动对象的分割与跟踪算法[J]. 光电工程, 2006, 33(7): 9-12
作者姓名:王成儒  刘豫
作者单位:燕山大学,信息科学与工程学院,河北,秦皇岛,066004;燕山大学,信息科学与工程学院,河北,秦皇岛,066004
摘    要:
本文提出了一种视频图像序列中运动对象的分割与跟踪算法。该算法通过Canny算子检测出差帧图像的边缘信息,并结合当前帧与背景帧的边缘图像,提取出运动对象。在后续帧中通过建立前帧感兴趣运动对象与当前帧中各运动对象的帧间向量来跟踪当前帧中感兴趣的视频对象。实验结果表明,该算法可行,而且由于该算法简单、计算复杂度小,能很好地满足实时监控系统中对感兴趣运动对象的提取与跟踪。

关 键 词:图像分割  边缘检测  跟踪算法  运动对象
文章编号:1003-501X(2006)07-0009-04
收稿时间:2005-08-14
修稿时间:2005-08-142005-11-21

Method for segmentation and tracking of moving objects in video sequences
WANG Cheng-ru,LIU Yu. Method for segmentation and tracking of moving objects in video sequences[J]. Opto-Electronic Engineering, 2006, 33(7): 9-12
Authors:WANG Cheng-ru  LIU Yu
Affiliation:Information Science and Engineering College, Yanshan University, Qinhuangdao 066004, China
Abstract:
An algorithm is proposed in this paper for segmentation and tracking of moving objects in video sequences. Combined with the edge information of current frame and background frame, the objects are separated based on the edge information of difference between two consecutive frames detected by Canny edge operator. As for tracking, vectors between the last interested objects in previous frame and moving objects in current frame are established to follow the present interested objects. Experimental results show that the algorithm is feasible, and due to low computation complexity, it can meet the requirements of tracking and extracting interested moving objects in real-time monitoring system.
Keywords:Image segmentation   Edge detection   Tracking algorithm   Moving object
本文献已被 CNKI 维普 万方数据 等数据库收录!
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