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山东大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (2): 6-10.

• 机器学习与数据挖掘 • 上一篇    下一篇

基于数学形态学和HSI颜色空间的人头检测

赵军伟1,侯清涛2,李金屏3,彭勃4   

  1. 1. 华北科技学院计算机学院,北京 101601;2. 山东政通科技发展有限公司,山东 济南 250013;3. 济南大学信息科学与工程学院,山东 济南 250022;4. 北京控制工程研究院,北京 100048
  • 收稿日期:2012-12-05 出版日期:2013-04-20 发布日期:2012-12-05
  • 作者简介:赵军伟(1983- ), 男,山东东明人,讲师,工程硕士,主要研究方向为图像处理、模式识别、优化算法、神经网络. E-mail:shower@yeah.net
  • 基金资助:

    中央高校基本科研业务费资助项目(3142013072);国家自然科学基金资助项目(60873089)

Head detection algorithm based on mathematical morphology and HSI color space

ZHAO Jun-wei1, HOU Qing-tao2, LI Jin-ping3, PENG Bo4   

  1. 1. North China Institute of Science and Technology, Beijing  101601, China;
    2. Shandong Gentle S & T Development Co. Ltd., Jinan 250013, China;
    3. School of Information Science and Engineering, University of Jinan, Jinan 250022, China;
    4. Beijing Institute of Control Engineering, Beijing 100048, China
  • Received:2012-12-05 Online:2013-04-20 Published:2012-12-05

摘要:       为提高视频监控中人数统计的实时性,提出一种人头检测算法。该方法在HSI(hue, saturation intensity)颜色空间建立人头颜色模型,并结合头发的灰度范围进行二值化。采用数学形态学的膨胀腐蚀算法进行预处理,并在边缘检测之后再次进行膨胀腐蚀,从而得到若干个候选区域。利用轮廓的几何特征综合判断这些区域是否为人头。实际监控的实验结果表明:该方法能够快速有效地检测出人头,很好地满足了视频监控中人数统计的实时性要求。

关键词: 人头检测, 数学形态学, HSI颜色空间, 边缘检测

Abstract:   An approach of head detection was proposed to meet the requirement of the reducing people counting time in real-time video monitoring. A hair color model was established in HSI color space, and the image binarization was processed by considering the range of hair gray-level. The mathematical morphology dilation and erosion preprocessing algorithm was presented. Then, dilation and erosion algorithm was used again after image edge detection in order to get several candidate areas. At last, the geometrical characteristics of contour were used to judge whether these areas head or not. Experimental results showed that this algorithm was fast and effective, which could meet the real-time needs of intelligent video surveillance.

Key words: head detection, HSI color space; , edge detection, mathematical morphology

中图分类号: 

  • TP391
[1] 王玉英1,张西忠2,杨森2. 基于新型矢量排序的soft多结构形态学彩色图像处理[J]. 山东大学学报(工学版), 2011, 41(2): 18-22.
[2] 宋尚玲,王长宇,梅良模 . 基于自定义特征检测模板的快速眼睛定位方法[J]. 山东大学学报(工学版), 2006, 36(1): 107-110 .
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