Name
Abstract | ||
|---|---|---|
Violence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided . |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/978-3-030-58356-9_11 | ISAmI |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalila Durães | 1 | 5 | 6.84 |
| Francisco Supino Marcondes | 2 | 8 | 6.12 |
| Filipe Gonçalves | 3 | 0 | 0.34 |
| Joaquim Fonseca | 4 | 1 | 0.68 |
| José Machado | 5 | 83 | 32.46 |
| Paulo Novais | 6 | 883 | 171.45 |