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Shadow-based vehicle detection in urban traffic
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Ibarra-Arenado, Manuel, Tjahjadi, Tardi, Pérez-Oria, Juan, Robla-Gómez, Sandra and Jiménez-Avello, Agustín (2017) Shadow-based vehicle detection in urban traffic. Sensors, 17 (5). 975. doi:10.3390/s17050975
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Official URL: http://dx.doi.org/10.3390/s17050975
Abstract
Vehicle detection is a fundamental task in Forward Collision Avoiding Systems (FACS). Generally, vision-based vehicle detection methods consist of two stages: hypotheses generation and hypotheses verification. In this paper, we focus on the former, presenting a feature-based method for on-road vehicle detection in urban traffic. Hypotheses for vehicle candidates are generated according to the shadow under the vehicles by comparing pixel properties across the vertical intensity gradients caused by shadows on the road, and followed by intensity thresholding and morphological discrimination. Unlike methods that identify the shadow under a vehicle as a road region with intensity smaller than a coarse lower bound of the intensity for road, the thresholding strategy we propose determines a coarse upper bound of the intensity for shadow which reduces false positives rates. The experimental results are promising in terms of detection performance and robustness in day time under different weather conditions and cluttered scenarios to enable validation for the first stage of a complete FACS. View Full-Text
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics | ||||||
| Divisions: | Faculty of Science > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Motor vehicles -- Collision avoidance systems, Traffic accidents -- Prevention, City traffic, Image processing, Shades and shadows | ||||||
| Journal or Publication Title: | Sensors | ||||||
| Publisher: | MDPI AG | ||||||
| ISSN: | 1424-8220 | ||||||
| Official Date: | 27 April 2017 | ||||||
| Dates: |
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| Volume: | 17 | ||||||
| Number: | 5 | ||||||
| Article Number: | 975 | ||||||
| DOI: | 10.3390/s17050975 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access | ||||||
| Funder: | Spain. Ministerio de Economía y Competitividad [Ministry of Economy and Competitiveness] (MINECO) | ||||||
| Grant number: | DPI2012-36959 (MINECO) |
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