Anomaly Detection in Video Surveillance via Gaussian Process
Nannan Li; Xinyu Wu; Huiwen Guo; Dan Xu; Yongsheng Ou; Yen-Lun Chen
刊名International Journal of Pattern Recognition and Artificial Intelligence
2015
英文摘要In this paper, we propose a new approach for anomaly detection in video surveillance. This approach is based on a nonparametric Bayesian regression model built upon Gaussian process priors. It establishes a set of basic vectors describing motion patterns from low-level features via online clustering, and then constructs a Gaussian process regression model to approximate the distribution of motion patterns in kernel space. We analyze different anomaly measure criterions derived from Gaussian process regression model and compare their performances. To reduce false detections caused by crowd occlusion, we utilize supplement information from previous frames to assist in anomaly detection for current frame. In addition, we address the problem of hyperparameter tuning and discuss the method of efficient calculation to reduce computation overhead. The approach is verified on published anomaly detection datasets and compared with other existing methods. The experiment results demonstrate that it can detect various anomalies efficiently and accurately. Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218001415550113?src=recsys&
收录类别SCI
原文出处http://www.worldscientific.com/doi/abs/10.1142/S0218001415550113?src=recsys&
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/6671]  
专题深圳先进技术研究院_集成所
作者单位International Journal of Pattern Recognition and Artificial Intelligence
推荐引用方式
GB/T 7714
Nannan Li,Xinyu Wu,Huiwen Guo,et al. Anomaly Detection in Video Surveillance via Gaussian Process[J]. International Journal of Pattern Recognition and Artificial Intelligence,2015.
APA Nannan Li,Xinyu Wu,Huiwen Guo,Dan Xu,Yongsheng Ou,&Yen-Lun Chen.(2015).Anomaly Detection in Video Surveillance via Gaussian Process.International Journal of Pattern Recognition and Artificial Intelligence.
MLA Nannan Li,et al."Anomaly Detection in Video Surveillance via Gaussian Process".International Journal of Pattern Recognition and Artificial Intelligence (2015).
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