Abnormal Crowd Behavior Detection Based on the Energy Model
文献类型：会议论文
| 作者 | Guogang Xiong; Xinyu Wu; Yen-Lun Chen; Yongsheng Ou |
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Information and Automation |
| 会议地点 | Shenzhen, China |
| 英文摘要 | In this paper, we present a novel method to detect two typical abnormal activities: pedestrain gathering and running. The method is based on the potential energy and kinetic energy. Reliable estimation of crowd density and crowd distribution are firstly introduced into the detection of anomalies. Estimation of crowd density is obtained from the image potential energy model. By building the foreground histogram on the X and Y axis respectively, the probability distribution of the histogram can be obtained, and then we define the Crowd Distribution Index (CDI) to represent the dispersion. The Crowd Distribution Index (CDI) is used to detect pedestrains gathering. The kinetic energy is determined by computation of optical flow and Crowd Distribution Index, and then used to detect people running. The detection for abnormal activities is based on the threshold analysis. Without training data, the model can robustly detect abnormal behaviors in low and medium crowd density with low computation load. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3412]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Guogang Xiong,Xinyu Wu,Yen-Lun Chen,et al. Abnormal Crowd Behavior Detection Based on the Energy Model[C]. 见:2011 International Conference on Information and Automation. Shenzhen, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。