Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (9): 169-172.DOI: 10.3778/j.issn.1002-8331.2010.09.048

• 图形、图像、模式识别 • Previous Articles     Next Articles

Human detection method based on motion projection periodicity feature

LIANG Ying-hong   

  1. Guangdong Key Lab of Electronic Commerce,Guangdong University of Business Studies,Guangzhou 510320,China
  • Received:2008-09-18 Revised:2008-11-04 Online:2010-03-21 Published:2010-03-21
  • Contact: LIANG Ying-hong



  1. 广东商学院 广东省电子商务市场应用技术重点实验室,广州 510320
  • 通讯作者: 梁英宏

Abstract: To handle the situation that objects are acquired by a still camera and the distance between objects and the camera is long,a human detection method based on the motion projection periodicity feature is presented.This method first obtains the moving objects via the motion segmentation algorithm,and then detects humans by calculating the projection similarities of the moving objects.To reduce the requirements of memory space and CPU time,this method uses the Hausdorff distance as a measure to calculate the projection similarity,and stores the calculated results in codebooks.

Key words: human detection, projection periodicity, motion segmentation, Hausdorff, codebook

摘要: 针对摄像机较远距离拍摄目标的情形,提出一种利用人体行走时的投影周期性特征进行人体目标检测的方法,首先通过运动分割获取每一帧的运动目标,然后通过计算运动目标的投影相似性对目标进行检测。为了简化计算,利用Hausdorff距离对运动目标的投影进行相似性计算,同时为减少存储空间,利用码书作为存储相似性特征的数据结构。

关键词: 人体目标检测, 投影周期性, 运动分割, Hausdorff, 码书

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