access icon free Dual-rate background subtraction approach for estimating traffic queue parameters in urban scenes

© The Institution of Engineering and Technology
Received 17/03/2011, Accepted 18/09/2012, Revised 08/08/2012, Published

This study proposes traffic queue-parameter estimation based on background subtraction, by means of an appropriate combination of two background models: a short-term model, very sensitive to moving vehicles, and a long-term model capable of retaining as foreground temporarily stopped vehicles at intersections or traffic lights. Experimental results in typical urban scenes demonstrate the suitability of the proposed approach. Its main advantage is the low computational cost, avoiding specific motion detection algorithms or post-processing operations after foreground vehicle detection.

Inspec keywords: object detection; parameter estimation; queueing theory; traffic engineering computing

Other keywords: background models; traffic queue parameter estimation; traffic lights; temporarily stopped vehicles; long-term model; urban scenes; post-processing operations; dual-rate background subtraction; short-term model; foreground vehicle detection; motion detection algorithms

Subjects: Optical, image and video signal processing; Queueing theory; Traffic engineering computing; Computer vision and image processing techniques; Queueing theory

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