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

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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Bibliographic Details
Main Authors: Yingfeng Cai, Ze Liu, Hai Wang, Xiaobo Chen, Long Chen
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
Vehicle detection
traffic surveillance
deformable part model (DPM)
conditional random field (CRF)
context-based inference
Online Access:http://www.mdpi.com/1424-8220/18/10/3505

Internet

http://www.mdpi.com/1424-8220/18/10/3505

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