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A hierarchical self-organizing approach for learning the patterns of motion trajectories
Hu, WM; Xie, D; Tan, TN
2004
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS
卷号15期号:1页码:135-144
文章类型Article
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.
关键词Hierarchical Self-organizing Neural Network Trajectory Analysis And Learning Anomaly Detection Behavior Prediction
WOS标题词Science & Technology ; Technology
关键词[WOS]VIDEO ; TIME
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000188603900012
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8919
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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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.
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