Anomaly detection and localisation in the crowd scenes using a block‐based social force model-Reference-Cited by-同舟云学术

Anomaly detection and localisation in the crowd scenes using a block‐based social force model

Published:2018-01 Issue:1 Volume:12 Page:133-137
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Ji Qing‐Ge¹,Chi Rui¹,Lu Zhe‐Ming²

Affiliation:

1. School of Data and Computer Science, Sun Yat‐sen UniversityGuangzhou510006People's Republic of China

2. School of Aeronautics and Astronautics, Zhejiang UniversityHangzhou310027People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2016.0044

Reference14 articles.

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2. Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

3. 2009 Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition CVPR 2009 Miami USA J. Kim K. Grauman Observe locally infer globally: a space‐time MRF for detecting abnormal activities with incremental updates 2921 2928

4. Detecting Irregularities in Images and in Video

5. 2010 Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition CVPR 2010 San Francisco USA V. Mahadevan W. Li V. Bhalodia Anomaly detection in crowded scenes 1975 1981

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