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Proceedings Paper

A mathematical morphology-based approach for vehicle detection in road tunnels
Author(s): Andrés Frías-Velázquez; Jorge Oswaldo Niño-Castañeda; Vedran Jelača; Aleksandra Pižurica; Wilfried Philips
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Paper Abstract

A novel approach to automatically detect vehicles in road tunnels is presented in this paper. Non-uniform and poor illumination conditions prevail in road tunnels making difficult to achieve robust vehicle detection. In order to cope with the illumination issues, we propose a local higher-order statistic filter to make the vehicle detection invariant to illumination changes, whereas a morphological-based background subtraction is used to generate a convex hull segmentation of the vehicles. An evaluation test comparing our approach with a benchmark object detector shows that our approach outperforms in terms of false detection rate and overlap area detection.

Paper Details

Date Published: 24 September 2011
PDF: 8 pages
Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81351V (24 September 2011); doi: 10.1117/12.894951
Show Author Affiliations
Andrés Frías-Velázquez, Univ. Gent (Belgium)
Jorge Oswaldo Niño-Castañeda, Univ. Gent (Belgium)
Vedran Jelača, Univ. Gent (Belgium)
Aleksandra Pižurica, Univ. Gent (Belgium)
Wilfried Philips, Univ. Gent (Belgium)


Published in SPIE Proceedings Vol. 8135:
Applications of Digital Image Processing XXXIV
Andrew G. Tescher, Editor(s)

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