A review of multiple-person abnormal activity recognition

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.