Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Vehicle Detection Algorithm Based on Shadow Feature
CCCM '08 Proceedings of the 2008 ISECS International Colloquium on Computing, Communication, Control, and Management - Volume 01
Moving vehicles detection based on adaptive motion histogram
Digital Signal Processing
Objects detection and tracking in highly congested traffic using compressed video sequences
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Determination of road traffic parameters based on 3d wavelet representation of an image sequence
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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A vehicle detection plays an important role in the traffic control at signalised intersections. This paper introduces a vision-based algorithm for vehicles presence recognition in detection zones. The algorithm uses linguistic variables to evaluate local attributes of an input image. The image attributes are categorised as vehicle, background or unknown features. Experimental results on complex traffic scenes show that the proposed algorithm is effective for a real-time vehicle detection.