|本期目录/Table of Contents|

[1]周浩,周平,胡耀武. 一种改进的视频兴趣区目标捕获算法研究[J].浙江理工大学学报,2012,29(04):565-569.
　ZHOU Hao,ZHOU Ping,HU Yao wu. An Improved Target Capture Method of Video Interest Region[J].Journal of Zhejiang Sci-Tech University,2012,29(04):565-569.
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 一种改进的视频兴趣区目标捕获算法研究()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第29卷
期数:
2012年04期
页码:
565-569
栏目:
出版日期:
2012-08-28

文章信息/Info

Title:
 An Improved Target Capture Method of Video Interest Region
文章编号:
16733851 (2012) 04056505
作者:
 周浩;  周平;  胡耀武
 浙江理工大学信息学院, 杭州 310018
Author(s):
 ZHOU Hao;  ZHOU Ping;  HU Yaowu
 School of Informatics, Zhejiang SciTech University, Hangzhou 310018, China
关键词:
 ; 目标捕获;  背景建模;  混合高斯模型;  颜色梯度
分类号:
TP319
文献标志码:
A
摘要:
    对于视频兴趣区的目标捕获技术提出了一种基于颜色梯度的背景差方法，通过结合阴影去除和连通域分析捕获兴趣目标。实验结果表明：该方法能有效解决光照突变等干扰，较好捕获兴趣区目标，减小误检率。对所实验的6个视频进行分析，在最多同时出现5个目标的视频检测中取得了92.8%的准确率、2%的误检率，且基本满足实时性。

参考文献/References:

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［4］ Sigari M H, Mahmood Fathy. Realtime background modeling subtraction using twolayer codebook model［C］//Proceedings of International Multiconference of Engineers and Computer Scientists. Hongkong: 2008: 1021.
［5］ Elgammal A, Harwood D,Davis L. Nonparametric model for background subtraction［C］//European Conference of Computer Vision. Dublin: 2000: 751767.
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［7］ Valentine B, Apewokin S, Linda W. An efficient chromatic clusteringbased background model for embedded vision platforms［J］. Computer Vision and Image Understanding, 2010(4): 11521163.
［8］ Khan Z H, Irene Y, Andrew G. A robust particle filterbased method for tracking single visual object through complex scenes using dynamical object shape and appearance similarity［J］. Sign Process System, 2010: 926.

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备注/Memo

备注/Memo:
 收稿日期： 2011-09-28
作者简介： 周浩（1988-），男，辽宁锦州人，硕士研究生，主要从事智能信息处理方面的研究。
通讯作者：周平，Email：zp@zstu.edu.cn
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