A new approach for pedestrian density estimation using moving sensors and computer vision (2020)
Tokuda, Eric Keiji 
; Lockerman, Yitzchak; Ferreira, Gabriel Augusto Bianchi Azevedo; Sorrelgreen, Ethan; Boyle, David; César Júnior, Roberto Marcondes ; Silva, Claudio T
Source: ACM Transactions on Spatial Algorithms and Systems. Unidades: IME, IFSC
Subjects: SISTEMAS DE INFORMAÇÃO, MINERAÇÃO DE DADOS
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TOKUDA, Eric Keiji et al. A new approach for pedestrian density estimation using moving sensors and computer vision. ACM Transactions on Spatial Algorithms and Systems, v. 6, n. 4, p. 26-1-26-20, 2020Tradução . . Disponível em: https://doi.org/10.1145/3397575. Acesso em: 02 nov. 2024.APA
Tokuda, E. K., Lockerman, Y., Ferreira, G. A. B. A., Sorrelgreen, E., Boyle, D., César Júnior, R. M., & Silva, C. T. (2020). A new approach for pedestrian density estimation using moving sensors and computer vision. ACM Transactions on Spatial Algorithms and Systems, 6( 4), 26-1-26-20. doi:10.1145/3397575NLM
Tokuda EK, Lockerman Y, Ferreira GABA, Sorrelgreen E, Boyle D, César Júnior RM, Silva CT. A new approach for pedestrian density estimation using moving sensors and computer vision [Internet]. ACM Transactions on Spatial Algorithms and Systems. 2020 ;6( 4): 26-1-26-20.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1145/3397575Vancouver
Tokuda EK, Lockerman Y, Ferreira GABA, Sorrelgreen E, Boyle D, César Júnior RM, Silva CT. A new approach for pedestrian density estimation using moving sensors and computer vision [Internet]. ACM Transactions on Spatial Algorithms and Systems. 2020 ;6( 4): 26-1-26-20.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1145/3397575
