Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90538
Título: | AI based monitoring violent action detection data for in-vehicle scenarios |
Autor(es): | Rodrigues, Nelson Ricardo Pereira Costa, Nuno M. C. da Novais, Rita Fonseca, Jaime C. Cardoso, Paulo Borges, João |
Palavras-chave: | Action recognition Autonomous vehicles Deep learning Violent action Dataset |
Data: | 22-Set-2022 |
Editora: | Elsevier 1 |
Revista: | Data in Brief |
Resumo(s): | With the evolution of technology associated with mobility and autonomy, Shared Autonomous Vehicles will be a reality. To ensure passenger safety, there is a need to create a monitoring system inside the vehicle capable of recognizing human actions. We introduce two datasets to train human action recognition inside the vehicle, focusing on violence detection. The InCar dataset tackles violent actions for in-car background which give us more realistic data. The InVicon dataset although doesn't have the realistic background as the InCar dataset can provide skeleton (3D body joints) data. This datasets were recorded with RGB, Depth, Ther-mal, Event-based, and Skeleton data. The resulting dataset contains 6 400 video samples and more than 3 million frames, collected from sixteen distinct subjects. The dataset contains 58 action classes, including violent and neutral (i.e., non-violent) activities.(c) 2022 Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ) |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/90538 |
DOI: | 10.1016/j.dib.2022.108564 |
ISSN: | 2352-3409 |
Versão da editora: | https://www.sciencedirect.com/journal/data-in-brief |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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AI Based monitoring violent.pdf | 1,61 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons