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Parte de monografia/livro
Keygraphs: structured features for object detection and applications (2017)
Hashimoto, M; Morimitsu, Henrique; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Fonte: Pattern recognition and big data. Unidade: IME
Assuntos: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, M et al. Keygraphs: structured features for object detection and applications. Pattern recognition and big data. Tradução . Singapore: Hackensack, NJ, 2017. . Disponível em: https://www.worldscientific.com/worldscibooks/10.1142/10153. Acesso em: 01 nov. 2024.
APA
Hashimoto, M., Morimitsu, H., Hirata Júnior, R., & César Júnior, R. M. (2017). Keygraphs: structured features for object detection and applications. In Pattern recognition and big data. Singapore: Hackensack, NJ. Recuperado de https://www.worldscientific.com/worldscibooks/10.1142/10153
NLM
Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 nov. 01 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
Vancouver
Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 nov. 01 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
Trabalho de evento
Attributed graphs for tracking multiple objects in structured sports videos (2016)
Morimitsu, Henrique; César Júnior, Roberto Marcondes ; Bloch, Isabelle
Fonte: Proceedings. Nome do evento: IEEE International Conference on Computer Vision - ICCVW. Unidade: IME
Assuntos: RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL, COMPUTAÇÃO GRÁFICA, INFERÊNCIA ESTATÍSTICA, INTELIGÊNCIA ARTIFICIAL, BADMINTON, TÊNIS DE MESA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORIMITSU, Henrique e CÉSAR JÚNIOR, Roberto Marcondes e BLOCH, Isabelle. Attributed graphs for tracking multiple objects in structured sports videos. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICCVW.2015.102. Acesso em: 01 nov. 2024.
APA
Morimitsu, H., César Júnior, R. M., & Bloch, I. (2016). Attributed graphs for tracking multiple objects in structured sports videos. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICCVW.2015.102
NLM
Morimitsu H, César Júnior RM, Bloch I. Attributed graphs for tracking multiple objects in structured sports videos [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICCVW.2015.102
Vancouver
Morimitsu H, César Júnior RM, Bloch I. Attributed graphs for tracking multiple objects in structured sports videos [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICCVW.2015.102
Tese (Doutorado)
A graph-based approach for online multi-object tracking in structured videos with an application to action recognition (2015)
Morimitsu, Henrique; César Júnior, Roberto Marcondes (Orientador)
Unidade: IME
Assuntos: INFERÊNCIA ESTATÍSTICA, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORIMITSU, Henrique. A graph-based approach for online multi-object tracking in structured videos with an application to action recognition. 2015. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2015. Disponível em: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-13012016-101607. Acesso em: 01 nov. 2024.
APA
Morimitsu, H. (2015). A graph-based approach for online multi-object tracking in structured videos with an application to action recognition (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de http://www.teses.usp.br/teses/disponiveis/45/45134/tde-13012016-101607
NLM
Morimitsu H. A graph-based approach for online multi-object tracking in structured videos with an application to action recognition [Internet]. 2015 ;[citado 2024 nov. 01 ] Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-13012016-101607
Vancouver
Morimitsu H. A graph-based approach for online multi-object tracking in structured videos with an application to action recognition [Internet]. 2015 ;[citado 2024 nov. 01 ] Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-13012016-101607
Trabalho de evento-resumo
A graph-based approach for object detection and action recognition in videos (2014)
Morimitsu, Henrique; César Júnior, Roberto Marcondes ; Bloch, Isabelle
Fonte: Program. Nome do evento: Features and Structures - FEAST 2014. Unidade: IME
Assuntos: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORIMITSU, Henrique e CÉSAR JÚNIOR, Roberto Marcondes e BLOCH, Isabelle. A graph-based approach for object detection and action recognition in videos. 2014, Anais.. Stockholm: Swedish Society for Automated Image Analysis (SSBA), 2014. Disponível em: https://sites.google.com/site/feast2014/program. Acesso em: 01 nov. 2024.
APA
Morimitsu, H., César Júnior, R. M., & Bloch, I. (2014). A graph-based approach for object detection and action recognition in videos. In Program. Stockholm: Swedish Society for Automated Image Analysis (SSBA). Recuperado de https://sites.google.com/site/feast2014/program
NLM
Morimitsu H, César Júnior RM, Bloch I. A graph-based approach for object detection and action recognition in videos [Internet]. Program. 2014 ;[citado 2024 nov. 01 ] Available from: https://sites.google.com/site/feast2014/program
Vancouver
Morimitsu H, César Júnior RM, Bloch I. A graph-based approach for object detection and action recognition in videos [Internet]. Program. 2014 ;[citado 2024 nov. 01 ] Available from: https://sites.google.com/site/feast2014/program
Trabalho de evento
A spatio-temporal approach for multiple object detection in videos using graphs and probability maps (2014)
Morimitsu, Henrique; César Júnior, Roberto Marcondes ; Bloch, Isabelle
Fonte: Image analysis and recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, proceedings, part II. Nome do evento: International Conference on Image Analysis and Recognition - ICIAR. Unidade: IME
Assuntos: RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORIMITSU, Henrique e CÉSAR JÚNIOR, Roberto Marcondes e BLOCH, Isabelle. A spatio-temporal approach for multiple object detection in videos using graphs and probability maps. 2014, Anais.. Cham: Springer, 2014. Disponível em: https://doi.org/10.1007/978-3-319-11755-3_47. Acesso em: 01 nov. 2024.
APA
Morimitsu, H., César Júnior, R. M., & Bloch, I. (2014). A spatio-temporal approach for multiple object detection in videos using graphs and probability maps. In Image analysis and recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, proceedings, part II. Cham: Springer. doi:10.1007/978-3-319-11755-3_47
NLM
Morimitsu H, César Júnior RM, Bloch I. A spatio-temporal approach for multiple object detection in videos using graphs and probability maps [Internet]. Image analysis and recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, proceedings, part II. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-11755-3_47
Vancouver
Morimitsu H, César Júnior RM, Bloch I. A spatio-temporal approach for multiple object detection in videos using graphs and probability maps [Internet]. Image analysis and recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, proceedings, part II. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-11755-3_47

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