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A hierarchical self-organizing approach for learning the patterns of motion trajectories
Hu, WM; Xie, D; Tan, TN
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS
2004
Volume15Issue:1Pages:135-144
SubtypeArticle
AbstractThe 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.
KeywordHierarchical Self-organizing Neural Network Trajectory Analysis And Learning Anomaly Detection Behavior Prediction
WOS HeadingsScience & Technology ; Technology
WOS KeywordVIDEO ; TIME
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000188603900012
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8919
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
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.
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