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Vehicle Detection by Fusing Part Model Learning and Semantic Scene Information for Complex Urban Surveillance

Visual-based vehicle detection has been studied extensively, however there are great challenges in certain settings. To solve this problem, this paper proposes a probabilistic framework combining a scene model with a pattern recognition method for vehicle detection by a stationary camera. A semisupe...

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Detalles Bibliográficos
Autores principales: Cai, Yingfeng, Liu, Ze, Wang, Hai, Chen, Xiaobo, Chen, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210138/
https://www.ncbi.nlm.nih.gov/pubmed/30336626
http://dx.doi.org/10.3390/s18103505