A method for estimating the dimensions of non‐delimited free parking areas by using a static surveillance camera is proposed. The proposed method is specially designed to tackle the main challenges of urban scenarios (multiple moving objects, outdoor illumination conditions and occlusions between vehicles) with no training. The core of this work is the temporal analysis of the video frames to detect the occupancy variation of the parking areas. Two techniques are combined: background subtraction using a mixture of Gaussians to detect and track vehicles and the creation of a transience map to detect the parking and leaving of vehicles. The authors demonstrate that the proposed method yields satisfactory estimates on three real scenarios while being a low computational cost solution that can be applied in any kind of parking area covered by a single camera.
Vacant parking area estimation through background subtraction and transience map analysis
IET Intelligent Transport Systems ; 9 , 9 ; 835-841
2015-11-01
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
vehicle occlusion , static surveillance camera , nondelimited free parking areas , outdoor illumination condition , object detection , multiple moving object , Gaussian mixture , background subtraction , vacant parking area estimation , traffic engineering computing , video signal processing , video frame temporal analysis , vehicle detection , vehicle tracking , object tracking , transience map analysis
Vacant parking area estimation through background subtraction and transience map analysis
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