Abnormal Event Detection in Crowd Scenes Using Quaternion Discrete Cosine Transformation Signature
文献类型：会议论文
| 作者 | Guo, Huiwen; Wu, Xinyu; Li, Nannan; Wang, Huan; Chen, Yen-Lun |
| 出版日期 | 2014 |
| 会议名称 | Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014, |
| 会议地点 | 中国 |
| 英文摘要 | In this paper, an abnormal event detection system inspired by the saliency attention mechanism of human visual system is presented. Conventionally, training-based methods assume that anomalies are events with rare appearance, which suffer from visual scale, complexity of normal events and insufficiency of training data. Instead, we make the assumption that anomalies are events that attract human attentions. Temporal and spatial anomaly saliency are considered consistently by representing the value of each pixel in each frame as a quaternion composed of intensity, contour, motion-speed and motion-direction feature. For each quaternion frame, Quaternion Discrete Cosine Transformation (QDCT) and signature operation are applied. The spatio-temporal anomaly saliency map is developed by inverse QDCT and Gaussian smoothing. Abnormal events appear at those areas with high saliency values. Experiments on typical datasets show that our method can achieve high accuracy results. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5659]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Guo, Huiwen,Wu, Xinyu,Li, Nannan,et al. Abnormal Event Detection in Crowd Scenes Using Quaternion Discrete Cosine Transformation Signature[C]. 见:Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014,. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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