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Estimating the Number of People in Crowded Scenes by MID Based Foreground Segmentation and Head-shoulder Detection
Min Li; Zhaoxiang Zhang; Kaiqi Huang; Tieniu Tan
2008-12-08
会议名称19th International Conference on Pattern Recognition
会议录名称 Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
页码1-4
会议日期8-11 December 2008
会议地点Tampa, Florida, USA
摘要This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines a MID (Mosaic Image Difference) based foreground segmentation algorithm and a HOG (Histograms of Oriented Gradients) based head-shoulder detection algorithm to provide an accurate estimation of people counts in the observed area. In our framework, the MID-based foreground segmentation module provides active areas for the head-shoulder detection module to detect heads and count the number of people. Numerous experiments are conducted and convincing results demonstrate the effectiveness of our method.
关键词Layout Head Image Segmentation Surveillance Histograms Feature Extraction Shape Detection Algorithms Laboratories Pattern Recognition
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12715
专题智能感知与计算研究中心
通讯作者Min Li
推荐引用方式
GB/T 7714
Min Li,Zhaoxiang Zhang,Kaiqi Huang,et al. Estimating the Number of People in Crowded Scenes by MID Based Foreground Segmentation and Head-shoulder Detection[C],2008:1-4.
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