图 书 馆
拥挤场景中的异常检测Anomaly Detection in Crowded Scenes |
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| 课程网址: | http://videolectures.net/cvpr2010_mahadevan_adcs/ |
| 主讲教师: | Vijay Mahadevan |
| 开课单位: | 加州大学圣地亚哥分校 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable for anomaly detection in such scenes: 1) joint modeling of appearance and dynamics of the scene, and the abilities to detect 2) temporal, and 3) spatial abnormalities. The model for normal crowd behavior is based on mixtures of dynamic textures and outliers under this model are labeled as anomalies. Temporal anomalies are equated to events of low-probability, while spatial anomalies are handled using discriminant saliency. An experimental evaluation is conducted with a new dataset of crowded scenes, composed of 100 video sequences and five well defined abnormality categories. The proposed representation is shown to outperform various state of the art anomaly detection techniques. |
| 关 键 词: | 计算机科学; 计算机视觉; 视频分析 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-06：heyf |
| 阅读次数: | 52 |