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
object detection , background subtraction , video signal processing , vehicle tracking , multiple moving object , object tracking , outdoor illumination condition , vehicle detection , transience map analysis , nondelimited free parking areas , Gaussian mixture , traffic engineering computing , vacant parking area estimation , vehicle occlusion , video frame temporal analysis , static surveillance camera
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