A hierarchical self-organizing approach for learning the patterns of motion trajectories
文献类型：期刊论文
| 作者 | Hu, WM ; Xie, D; Tan, TN
|
| 刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS
 |
| 出版日期 | 2004 |
| 卷号 | 15期号:1页码:135-144 |
| 关键词 | hierarchical self-organizing neural network trajectory analysis and learning anomaly detection behavior prediction |
| 英文摘要 | The understanding and description of object behaviors is a hot topic in computer vision. Trajectory analysis is one of the basic problems in behavior understanding, and the learning of trajectory patterns that can be used to detect anomalies and predict object trajectories is an interesting and important problem in trajectory analysis. In this paper, we present a hierarchical self-organizing neural network model and its application to the learning of trajectory distribution patterns for event recognition. The distribution patterns of trajectories are learnt using a hierarchical self-organizing neural network. Using the learned patterns, we consider anomaly detection as well as object behavior prediction. Compared with the existing neural network structures that are used to learn patterns of trajectories, our network structure has smaller scale and faster learning speed, and is thus more effective. Experimental results using two different sets of data demonstrate the accuracy and speed of our hierarchical self-organizing neural network in learning the distribution patterns of object trajectories. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | VIDEO ; TIME |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000188603900012 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8919]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, WM,Xie, D,Tan, TN. A hierarchical self-organizing approach for learning the patterns of motion trajectories[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2004,15(1):135-144. |
| APA | Hu, WM,Xie, D,&Tan, TN.(2004).A hierarchical self-organizing approach for learning the patterns of motion trajectories.IEEE TRANSACTIONS ON NEURAL NETWORKS,15(1),135-144. |
| MLA | Hu, WM,et al."A hierarchical self-organizing approach for learning the patterns of motion trajectories".IEEE TRANSACTIONS ON NEURAL NETWORKS 15.1(2004):135-144. |
入库方式： OAI收割
来源：自动化研究所
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