Source: Proceedings. Conference titles: International Conference on Signal Processing, Communications and Computing. Unidades: EACH, IME
Subjects: PROCESSAMENTO DE SINAIS, VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
ABNT
GONÇALVES, Vinicius Pereira et al. Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICSPCC52875.2021.9564442. Acesso em: 15 nov. 2024.APA
Gonçalves, V. P., Silva, L. P. da, Marques, F. de L. dos S. N., Ferreira, J. E., & Araújo, L. V. de. (2021). Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes. In Proceedings. Piscataway: IEEE. doi:10.1109/ICSPCC52875.2021.9564442NLM
Gonçalves VP, Silva LP da, Marques F de L dos SN, Ferreira JE, Araújo LV de. Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes [Internet]. Proceedings. 2021 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442Vancouver
Gonçalves VP, Silva LP da, Marques F de L dos SN, Ferreira JE, Araújo LV de. Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes [Internet]. Proceedings. 2021 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442