华南理工大学学报（自然科学版） ›› 2013, Vol. 41 ›› Issue (7): 126-130.doi: 10.3969/j.issn.1000-565X.2013.07.021

• 计算机科学与技术 • 上一篇    下一篇

基于运动目标检测的交互式图片浏览系统

许勇 卓君宝 田星 布社辉†   

  1. 华南理工大学 计算机科学与工程学院，广东 广州 510006
  • 收稿日期:2013-02-28 出版日期:2013-07-25 发布日期:2013-06-01
  • 通信作者: 布社辉(1975-)，男，博士，讲师，主要从事计算机视觉研究． E-mail:bushehui@scut.edu.cn
  • 作者简介:许勇(1971-)，男，博士，教授，主要从事计算机视觉研究．E-mail:yxu@scut．edu．cn
  • 基金资助:

    国家自然科学基金资助项目(61273255，61070091);华南理工大学中央高校基本科研业务费本科生自主选题项目(201230)

Interactive Photo- Browsing System Based on Moving Target Detection

Xu Yong Zhuo Jun- bao Tian Xing Bu She- hui†   

  1. School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China
  • Received:2013-02-28 Online:2013-07-25 Published:2013-06-01
  • Contact: Bu She-hui(born in 1975),male,Ph.D.,lecturer,mainly researches on computer vision. E-mail:bushehui@scut.edu.cn
  • About author:Xu Yong(born in 1971),male,Ph.D.,professor，mainly researches on computer vision.E-mail:yxu@scut.edu.cn
  • Supported by:

    Supported by the National Natural Science Foundation of China (61273255,61070091) and the Fundamental Research Funds for the Central Universities (201230)

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摘要： 研制了一种基于运动目标检测技术的交互式图片浏览系统．首先使用高斯混合模型对背景进行建模，提出把传统的 RGB 颜色空间转化为 YCbCr 颜色空间的改进方法，以提高检测算法对光照变化的鲁棒性，实现对前景移动目标的有效检测，进而分离出目标对象，同时结合肤色检测技术和Canny 边缘检测算法来实现对移动目标的定位．最后对实际开发的系统进行功能测试验证，取得了良好的预期效果．

关键词: 运动目标检测, 图片浏览系统, 高斯混合模型, 肤色检测, Canny 边缘检测, 检测算子

Abstract:

Proposed in this paper is an interactive photo- browsing system based on the moving target detection.In this system,the Gaussian mixture model is used to construct a background model and the traditional RGB color space is converted into YCbCr color space to improve the robustness of the system to illumination varia-tion.Thus,the moving foreground target is effectively detected and the target object is further separated.More-over,in order to locate a moving object,the skin segmentation technology is combined with the Canny edge de-tection algorithm.The developed system is finally tested by experiments,with satisfactory results being ob-tained.

Key words: moving target detection, photo- browsing system, Gaussian mixture model, skin segmentation, Canny edge detection, detection operator

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