Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101922
Title: Vision-based vehicle queue detection at traffic junctions
Authors: Srikanthan, Thambipillai
Satzoda, R. K.
Suchitra, S.
Chia, J. Y.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2011
Abstract: Real-time traffic queue detection can directly aid in dynamic traffic light control at road junctions. In this paper, we propose an efficient technique to detect vehicle queue lengths at traffic junctions based on progressive block based image processing. We also propose a two-step approach for vehicle detection that relies on edges and dark features in the image. It is shown that this vehicle detection approach is robust to heavy and light shadows. Further, the threshold adapts itself dynamically to handle varying light conditions. Evaluation of the proposed method using over 45 real video sequences shows nearly 100% accuracy in vehicle detection and queue length estimation.
URI: https://hdl.handle.net/10356/101922
http://hdl.handle.net/10220/12766
DOI: 10.1109/ICIEA.2012.6360703
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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