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基于Mean Shift算法跟踪视频中运动目标
引用本文:何志勇,蔡乐才,许继家.基于Mean Shift算法跟踪视频中运动目标[J].郑州大学学报(理学版),2010,42(1).
作者姓名:何志勇  蔡乐才  许继家
作者单位:1. 四川理工学院,计算机学院,四川,自贡,643000
2. 四川理工学院,自动化与电子信息学院,四川,自贡,643000
基金项目:四川省科技厅项目,编号2008FZ0109
摘    要:针对Mean Shift算法在视频中跟踪目标与背景的像素差值不明显时跟踪效果不佳,提出了Mean Shift改进算法.实验表明,该算法能有效、准确地跟踪视频中的运动目标,计算量小,可以满足实时性要求高的场合.

关 键 词:视频跟踪  Mean  Shift算法  Epanechnikov核  密度估计

Tracking Moving Objects Based on Mean Shift Algorithm in Video
HE Zhi-yong , CAI Le-cai , XU Ji-ja.Tracking Moving Objects Based on Mean Shift Algorithm in Video[J].Journal of Zhengzhou University:Natural Science Edition,2010,42(1).
Authors:HE Zhi-yong  CAI Le-cai  XU Ji-ja
Institution:HE Zhi-yong1,CAI Le-cai1,XU Ji-ja2(1.School of Computer Science,Sichuan University of Science , Engineering,Zigong 643000,China,2.School of Automation , Electrical Information Engineering,China)
Abstract:The tracking effect is not well for the faster track with Mean Shift tracking algorithm when the difference is not obvious between the track target and background pixels in the video.The Mean Shift algorithm is put forward.The experimental results show that the proposed algorithm can track the moving target efficiently and precisely in video,and also can meet high real-time situation with small calculation.
Keywords:video tracking  Mean Shift algorithm  Epanechnikov core  density estimation  
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