A review on video violence detection approaches

نویسندگان

1 Department of Computer Science, College of Science, University of Diyala, Baqubah, Iraq

2 Department of Computer Science, College of Science, University of Diyala, Baqubah, Iraq

doi
10.22075/ijnaa.2022.6369
چکیده

A violent behaviour detection system (VBDS) is an important application of intelligent video surveillance that performs a critical role in the field of public security and safety VBDS is a sort of behaviour recognition that seeks to determine whether the behaviours observed in the situation are violent, such as fighting or assault. This paper presents a survey of the existing approaches to VBDS. In this paper, the existing VBDS techniques are classified based on their framework, which includes the old-fashion framework and the end-to-end state-of-the-art deep learning framework. Finally, the VBDS methods' performance is assessed and compared.