Ankrum, D. R., Nemeth, K. J., 2000. Head and neck posture at computer workstations - what is neutral? In: Proc Human Factors and Ergonomics Soc Annual Meeting. Vol. 44. pp. 565-568. https://doi.org/10.1177/154193120004403046
Arias Gallegos, W. L., 2011. Uso y desuso de los equipos de protección personal en trabajadores de construccion. Ciencia & Trabajo 40, 119-124.
Brilakis, I., Park, M. W., Jog, G., 2011. Automated vision tracking of project related entities. Advanced Engineering Informatics 25 (4), 713-724. https://doi.org/10.1016/j.aei.2011.01.003
[+]
Ankrum, D. R., Nemeth, K. J., 2000. Head and neck posture at computer workstations - what is neutral? In: Proc Human Factors and Ergonomics Soc Annual Meeting. Vol. 44. pp. 565-568. https://doi.org/10.1177/154193120004403046
Arias Gallegos, W. L., 2011. Uso y desuso de los equipos de protección personal en trabajadores de construccion. Ciencia & Trabajo 40, 119-124.
Brilakis, I., Park, M. W., Jog, G., 2011. Automated vision tracking of project related entities. Advanced Engineering Informatics 25 (4), 713-724. https://doi.org/10.1016/j.aei.2011.01.003
Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y., 2017. Realtime multi-person 2d pose estimation using part affinity fields. In: Proc IEEE Conf CVPR. pp. 7291- 7299. URL: https://arxiv.org/abs/1611.08050v2 https://doi.org/10.1109/CVPR.2017.143
Fang, Q., Li, H., Luo, X., Ding, L., Luo, H., Rose, T. M., An, W., 2018. Detecting non-hardhat-use by a deep learning method from far-field surveillance videos. Automation in Construction 85 (1), 1-9. https://doi.org/10.1016/j.autcon.2017.09.018
He, K., Zhang, X., Ren, S., Sun, J., 2016. Deep residual learning for image recognition. Proc IEEE Conf CVPR, 770-778. https://doi.org/10.1109/CVPR.2016.90
ILO, 2002. ILO-OSH 2001. Directrices relativas a los sistemas de gestión de la seguridad y la salud en el trabajo. Oficina Internacional del Trabajo, Ginebra (Suiza).
Konstantinou, E., Lasenby, J., Brilakis, I., 2019. Adaptive computer vision based 2d tracking of workers in complex environments. Automation in Construction 103, 168 - 184. https://doi.org/10.1016/j.autcon.2019.01.018
Massiris Fernandez, M., Delrieux, C., Fernández Muñoz, J. A., 2018. Detección de equipos de protección personal mediante la red neuronal convolucional ' Yolo. In: Actas de las XXXIX Jornadas de Automatica. pp. 1022-1029. URL: http://hdl.handle.net/10662/8846
Memarzadeh, M., Golparvar-Fard, M., Niebles, J. C., jul 2013. Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors. Automation in Construction 32, 24-37. https://doi.org/10.1016/j.autcon.2012.12.002
Mneymneh, B. E., Abbas, M., Khoury, H., 2017. Automated hardhat detection for construction safety applications. Procedia Engineering 196, 895 - 902. https://doi.org/10.1016/j.proeng.2017.08.022
Mosberger, R., Andreasson, H., Lilienthal, A. J., 2014. A customized vision system for tracking humans wearing reflective safety clothing from industrial vehicles and machinery. Sensors (Switzerland) 14 (10), 17952-17980. https://doi.org/10.3390/s141017952
Park, J., Yang, X., Cho, Y. K., Seo, J., 2017. Improving dynamic proximity sensing and processing for smart work-zone safety. Automation in Construction 84, 111 - 120. https://doi.org/10.1016/j.autcon.2017.08.025
Park, M. W., Brilakis, I., 2012. Construction worker detection in video frames for initializing vision trackers. Automation in Construction 28, 15-25. https://doi.org/10.1016/j.autcon.2012.06.001
Park, M.-W., Brilakis, I., 2016. Continuous localization of construction workers via integration of detection and tracking. Automation in Construction 72, 129 - 142. https://doi.org/10.1016/j.autcon.2016.08.039
Park, M.-W., Elsafty, N., Zhu, Z., 2015. Hardhat-wearing detection for enhancing on-site safety of construction workers. Journal of Construction Engineering and Management 141 (9), 4015024. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000974
Seong, H., Choi, H., Cho, H., Lee, S., Son, H., Kim, C., 2017. Vision-based safety vest detection in a construction scene. In: ISARC 2017 - Proceedings of the 34th International Symposium on Automation and Robotics in Construction. Isarc. pp. 288-293. https://doi.org/10.22260/ISARC2017/0039
Shrestha, K., Shrestha, P. P., Bajracharya, D., Yfantis, E. A., 2015. Hard-hat detection for construction safety visualization. Journal of Construction Engineering 2015. https://doi.org/10.1155/2015/721380
Son, H., Choi, H., Seong, H., Kim, C., 2019. Detection of construction workers under varying poses and changing background in image sequences via very deep residual networks. Automation in Construction 99, 27-38. https://doi.org/10.1016/j.autcon.2018.11.033
Union Europea, P. y. C. d. l. U., 1989. Directiva 89/656/cee relativa a las disposiciones mínimas de seguridad y de salud para la utilización por los trabajadores en el trabajo de equipos de protección individual.
Xie, Z., Liu, H., Li, Z., He, Y., 2018. A convolutional neural network based approach towards real-time hard hat detection. Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018, 430-434. https://doi.org/10.1109/PIC.2018.8706269
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