Suprem, Abhijit; Lima, Rodrigo Alves; Padilha, Bruno; Ferreira, João Eduardo 
; Pu, Calton
Source: Proceedings. Conference titles: International Conference on Cognitive Machine Intelligence - CogMI. Unidade: IME
Subjects: PROCESSAMENTO DE SINAIS DE VÍDEO, SEGURANÇA ELETRÔNICA
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ABNT
SUPREM, Abhijit et al. Robust, extensible, and fast: teamed classifiers for vehicle tracking in multi-camera networks. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/CogMI48466.2019.00013. Acesso em: 05 nov. 2024.APA
Suprem, A., Lima, R. A., Padilha, B., Ferreira, J. E., & Pu, C. (2019). Robust, extensible, and fast: teamed classifiers for vehicle tracking in multi-camera networks. In Proceedings. Piscataway: IEEE. doi:10.1109/CogMI48466.2019.00013NLM
Suprem A, Lima RA, Padilha B, Ferreira JE, Pu C. Robust, extensible, and fast: teamed classifiers for vehicle tracking in multi-camera networks [Internet]. Proceedings. 2019 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/CogMI48466.2019.00013Vancouver
Suprem A, Lima RA, Padilha B, Ferreira JE, Pu C. Robust, extensible, and fast: teamed classifiers for vehicle tracking in multi-camera networks [Internet]. Proceedings. 2019 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/CogMI48466.2019.00013
