2021
Durães, D.; Marcondes, F. S.; Gonçalves, F.; Fonseca, J.; Machado, J.; Novais, P.
Detection violent behaviors: A survey Proceedings Article
Em: P., Larriba-Pey J. L. Vercelli G. Novais (Ed.): pp. 106-116, Springer Science and Business Media Deutschland GmbH, 2021, ISSN: 21945357, (cited By 13; Conference of 11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:245169).
Resumo | Links | BibTeX | Etiquetas: Action recognition; Audio and video; Behavior modelling; Classification methods; Multi-modal; Systematic Review; Violence detections; Violent behavior, Ambient intelligence, Application programs; Artificial intelligence; Classification (of information)
@inproceedings{Durães2021106,
title = {Detection violent behaviors: A survey},
author = {D. Durães and F. S. Marcondes and F. Gonçalves and J. Fonseca and J. Machado and P. Novais},
editor = {Larriba-Pey J. L. Vercelli G. Novais P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091503158&doi=10.1007%2f978-3-030-58356-9_11&partnerID=40&md5=ed2f6cb833a6cc4d92e3dca5aabec4c0},
doi = {10.1007/978-3-030-58356-9_11},
issn = {21945357},
year = {2021},
date = {2021-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {1239 AISC},
pages = {106-116},
publisher = {Springer Science and Business Media Deutschland GmbH},
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. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.},
note = {cited By 13; Conference of 11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:245169},
keywords = {Action recognition; Audio and video; Behavior modelling; Classification methods; Multi-modal; Systematic Review; Violence detections; Violent behavior, Ambient intelligence, Application programs; Artificial intelligence; Classification (of information)},
pubstate = {published},
tppubtype = {inproceedings}
}