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.