Vacant Parking Space Detection Based on a Multilayer Inference Framework

In a practical environment, the viewing angle and height of a video surveillance camera are uncontrollable. This may cause severe interobject occlusion and complicate the detection problem. In this paper, we proposed a novel inference framework with multiple layers for vacant parking space detection...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2017-09, Vol.27 (9), p.2041-2054
Hauptverfasser:	Huang, Ching-Chun, Vu, Hoang Tran
Format:	Artikel
Sprache:	eng
Schlagworte:	Cameras Classifiers Computing time Discriminative framework Distortion Feature extraction Feature recognition fusion scheme Image detection Inference Lighting Markov processes Markov random field (MRF) Multilayers Occlusion Parking parking space detection Pattern recognition Space vehicles status inference strong classifier Support vector machines Weather
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