A hierarchical self-organizing approach for learning the patterns of motion trajectories

CASIA OpenIR > 09年以前成果

	A hierarchical self-organizing approach for learning the patterns of motion trajectories
	Hu, WM; Xie, D; Tan, TN
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS
	2004
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	被引频次：56[WOS] [WOS记录] [WOS相关记录]
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
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.