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A Review of Multiple-Person Abnormal Activity Recognition

Yangyue Zhou and Miaolei Deng
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China

Abstract—In recent years, computer vision technology capable of detecting human behavior has attracted more and more attention. Although it has been widely used in many applications, accurate and effective human motion recognition is still a challenge in the field of computer vision. This paper presents a review of the latest research methods for multi-person human anomalous action recognition. The article deeply analyzes the calculation method of activities and briefly describes popular datasets. Discussing the unresolved issues, it provides new ideas for future research.

Index Terms—video surveillance, human action recognition, action detection

Cite: Yangyue Zhou and Miaolei Deng, "A Review of Multiple-Person Abnormal Activity Recognition," Journal of Image and Graphics, Vol. 9, No. 2, pp. 55-60, June 2021. doi: 10.18178/joig.9.2.55-60

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.