Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes (2021)
- Authors:
- USP affiliated authors: MARQUES, FÁTIMA DE LOURDES DOS SANTOS NUNES - EACH ; FERREIRA, JOÃO EDUARDO - IME ; ARAÚJO, LUCIANO VIEIRA DE - EACH ; GONÇALVES, VINÍCIUS PIRES - EACH ; SILVA, LOURIVAL PAULINO DA - EACH
- Unidades: EACH; IME
- DOI: 10.1109/ICSPCC52875.2021.9564442
- Subjects: PROCESSAMENTO DE SINAIS; VISÃO COMPUTACIONAL; APRENDIZAGEM PROFUNDA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference on Signal Processing, Communications and Computing
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 25 jul. 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/ICSPCC52875.2021.9564442 -
NLM
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 jul. 25 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442 -
Vancouver
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 jul. 25 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442 - Concept drift adaptation in video surveillance: a systematic review
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Informações sobre o DOI: 10.1109/ICSPCC52875.2021.9564442 (Fonte: oaDOI API)
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