An efficient deep neural model for detecting crowd anomalies in videos
Author:
Funder
the Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04233-5.pdf
Reference48 articles.
1. Varadarajan J, Odobez J-M (2009) Topic models for scene analysis and abnormality detection. In: 2009 IEEE 12th international conference on computer vision workshops, pp 1338–1345
2. Luff P, Heath C, Jirotka M (2000) Surveying the scene: technologies for everyday awareness and monitoring in control rooms. Interact Comput 13(2):193–228
3. Aggarwal JK, Cai Q (1999) Human motion analysis: a review. Comput Vis Image Underst 73(3):428–440
4. Krüger V, Kragic D, Ude A, Geib C (2007) The meaning of action: a review on action recognition and mapping. Adv Robot 21(13):1473–1501
5. Rao AS, Gubbi J, Rajasegarar S, Marusic S, Palaniswami M (2014) Detection of anomalous crowd behaviour using hyperspherical clustering. In: 2014 International conference on digital image computing: techniques and applications (DICTA), pp 1–8
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