A mathematical morphology-based approach for vehicle detection in road tunnels

Andrés Frías-Velázquez; Jorge Oswaldo Niño-Castañeda; Vedran Jelača; Aleksandra Pižurica; Wilfried Philips

doi:10.1117/12.894951

24 September 2011 A mathematical morphology-based approach for vehicle detection in road tunnels

Andrés Frías-Velázquez, Jorge Oswaldo Niño-Castañeda, Vedran Jelača, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 81351V (2011) https://doi.org/10.1117/12.894951
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Andrés Frías-Velázquez, Jorge Oswaldo Niño-Castañeda, Vedran Jelača, Aleksandra Pižurica, and Wilfried Philips "A mathematical morphology-based approach for vehicle detection in road tunnels", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81351V (24 September 2011); https://doi.org/10.1117/12.894951

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