Estimating the Number of People in Crowded Scenes by MID Based Foreground Segmentation and Head-shoulder Detection
文献类型：会议论文
| 作者 | Min Li; Zhaoxiang Zhang ; Kaiqi Huang; Tieniu Tan
|
| 出版日期 | 2008-12-08 |
| 会议日期 | 8-11 December 2008 |
| 会议地点 | Tampa, Florida, USA |
| 关键词 | Layout Head Image Segmentation Surveillance Histograms Feature Extraction Shape Detection Algorithms Laboratories Pattern Recognition |
| 页码 | 1-4 |
| 英文摘要 | 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. |
| 会议录 | Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12715]  |
| 专题 | 自动化研究所_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]. 见:. Tampa, Florida, USA. 8-11 December 2008. |
入库方式： OAI收割
来源：自动化研究所
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