2021
Marcondes, F. S.; Durães, D.; Gonçalves, F.; Fonseca, J.; Machado, J.; Novais, P.
In-vehicle violence detection in carpooling: A brief survey towards a general surveillance system Proceedings Article
Em: Y., Matsui K. Herrera-Viedma E. Dong (Ed.): pp. 211-220, Springer, 2021, ISSN: 21945357, (cited By 14; Conference of 17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020 ; Conference Date: 17 June 2020 Through 19 June 2020; Conference Code:243089).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Crime; Monitoring; Security systems; User experience, General Surveillance; Research papers; Sexual harassment; Surveillance systems; Vehicle electronics; Vehicle surveillances; Violence detections, Vehicles
@inproceedings{Marcondes2021211,
title = {In-vehicle violence detection in carpooling: A brief survey towards a general surveillance system},
author = {F. S. Marcondes and D. Durães and F. Gonçalves and J. Fonseca and J. Machado and P. Novais},
editor = {Matsui K. Herrera-Viedma E. Dong Y.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089722186&doi=10.1007%2f978-3-030-53036-5_23&partnerID=40&md5=d4ebacd935c0a98d12558df672ef3b1f},
doi = {10.1007/978-3-030-53036-5_23},
issn = {21945357},
year = {2021},
date = {2021-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {1237 AISC},
pages = {211-220},
publisher = {Springer},
abstract = {Violence is a word that encompasses several meanings ranging from an actual fight to theft and several types of harassment. Therefore, violence detection through surveillance systems can be a quite difficult yet important task. The increasing use of carpooling services and vehicle sharing brought the need to implement a sufficient general surveillance system for monitoring these vehicles for assuring the passengers’ safety during the ride. This paper raised the literature for this matter, finding fewer research papers than it was expected for the in-vehicle perspective, noticeably to sexual harassment. Most of the research papers focused on out-vehicle issues such as runs over and vehicle theft. In-vehicle electronic components security and cockpit user experience were perceived as major concern areas. This paper discusses these findings and presents some insights about in-vehicle surveillance. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.},
note = {cited By 14; Conference of 17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020 ; Conference Date: 17 June 2020 Through 19 June 2020; Conference Code:243089},
keywords = {Artificial intelligence; Crime; Monitoring; Security systems; User experience, General Surveillance; Research papers; Sexual harassment; Surveillance systems; Vehicle electronics; Vehicle surveillances; Violence detections, Vehicles},
pubstate = {published},
tppubtype = {inproceedings}
}
Violence is a word that encompasses several meanings ranging from an actual fight to theft and several types of harassment. Therefore, violence detection through surveillance systems can be a quite difficult yet important task. The increasing use of carpooling services and vehicle sharing brought the need to implement a sufficient general surveillance system for monitoring these vehicles for assuring the passengers’ safety during the ride. This paper raised the literature for this matter, finding fewer research papers than it was expected for the in-vehicle perspective, noticeably to sexual harassment. Most of the research papers focused on out-vehicle issues such as runs over and vehicle theft. In-vehicle electronic components security and cockpit user experience were perceived as major concern areas. This paper discusses these findings and presents some insights about in-vehicle surveillance. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
2020
Coimbra, A.; Neto, C.; Ferreira, D.; Duarte, J.; Oliveira, D.; Hak, F.; Gonçalves, F.; Fonseca, J.; Lori, N.; Abelha, A.; Machado, J.
Review of Trends in Automatic Human Activity Recognition in Vehicle Based in Synthetic Data Proceedings Article
Em: C., Camacho D. Novais P. Analide (Ed.): pp. 368-376, Springer Science and Business Media Deutschland GmbH, 2020, ISSN: 03029743, (cited By 1; Conference of 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference Date: 4 November 2020 Through 6 November 2020; Conference Code:251049).
Resumo | Links | BibTeX | Etiquetas: 3-D cameras; Driverless; Human activity recognition; Human movements; Image captures; ITS applications; Surveillance systems; Synthetic data, Cameras; Privacy by design, Vehicles
@inproceedings{Coimbra2020368,
title = {Review of Trends in Automatic Human Activity Recognition in Vehicle Based in Synthetic Data},
author = {A. Coimbra and C. Neto and D. Ferreira and J. Duarte and D. Oliveira and F. Hak and F. Gonçalves and J. Fonseca and N. Lori and A. Abelha and J. Machado},
editor = {Camacho D. Novais P. Analide C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097146474&doi=10.1007%2f978-3-030-62365-4_35&partnerID=40&md5=595ad5027d15e25fb5fb60cbf36c6354},
doi = {10.1007/978-3-030-62365-4_35},
issn = {03029743},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12490 LNCS},
pages = {368-376},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Driverless vehicles are more and more becoming a reality. However, people still have some concerns in using them, the main concern is fear, hence the importance of creating a surveillance system inside those vehicles. For the detection and classification of human movements to be possible it is necessary to train the system with data representative enough for all kinds of possibilities. Although the production of large quantities of data becomes an expensive process and adds the problem of data protection, the use of synthetic data once they are artificially generated allows lower costs and eliminates the problem of data protection. A bibliographic study was carried out in this paper with articles from 2017 or later on the use of synthetic data. In these studies, it is noted that synthetic data is widely used with good results. As far as image capture is concerned, they show that 3D cameras have better results, but they are more expensive, so 2D cameras are more often used with later conversion to 3D images. The stitched puppet (SP) model is capable of adapting to the most difficult poses having obtained good results in its application in the FAUST dataset. © 2020, Springer Nature Switzerland AG.},
note = {cited By 1; Conference of 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference Date: 4 November 2020 Through 6 November 2020; Conference Code:251049},
keywords = {3-D cameras; Driverless; Human activity recognition; Human movements; Image captures; ITS applications; Surveillance systems; Synthetic data, Cameras; Privacy by design, Vehicles},
pubstate = {published},
tppubtype = {inproceedings}
}
Driverless vehicles are more and more becoming a reality. However, people still have some concerns in using them, the main concern is fear, hence the importance of creating a surveillance system inside those vehicles. For the detection and classification of human movements to be possible it is necessary to train the system with data representative enough for all kinds of possibilities. Although the production of large quantities of data becomes an expensive process and adds the problem of data protection, the use of synthetic data once they are artificially generated allows lower costs and eliminates the problem of data protection. A bibliographic study was carried out in this paper with articles from 2017 or later on the use of synthetic data. In these studies, it is noted that synthetic data is widely used with good results. As far as image capture is concerned, they show that 3D cameras have better results, but they are more expensive, so 2D cameras are more often used with later conversion to 3D images. The stitched puppet (SP) model is capable of adapting to the most difficult poses having obtained good results in its application in the FAUST dataset. © 2020, Springer Nature Switzerland AG.