Anomaly Detection Techniques in Intelligent Surveillance Systems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7615-5_43
Reference20 articles.
1. Xu M, Yu X, Chen D, Wu C, Jiang Y (2019) An efficient anomaly detection system for crowded scenes using variational autoencoders. Appl Sci 9(16):3337
2. Ye R, Li X (2017) Collective representation for abnormal event detection. J Comput Sci Technol 32(3):470–479
3. Ramchandran A, Sangaiah AK (2020) Unsupervised deep learning system for local anomaly event detection in crowded scenes. Multimedia Tools Appl 79(47):35275–35295
4. Biswas S, Gupta V (2017) Abnormality detection in crowd videos by tracking sparse components. Mach Vis Appl 28(1):35–48
5. Afiq AA, Zakariya MA, Saad MN, Nurfarzana AA, Khir MHM, Fadzil AF, Faizari M (2019) A review on classifying abnormal behavior in crowd scene. J Vis Commun Image Represent 58:285–303. https://doi.org/10.1016/j.jvcir.2018.11.035
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