Publication:
Discrete features for rapid pedestrian detection in infrared images

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ISSN: 2153-0858
ISBN: 978-1-4673-1737-5
Publication date
2012-10
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IEEE
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Abstract
In this paper the authors propose a pedestrian detection system based on discrete features in infrared images. Unique keypoints are searched for in the images around which a descriptor, based on the histogram of the phase congruency orientation, is extracted. These descriptors are matched with defined regions of the body of a pedestrian. In case of a match, it creates a region of interest in the image, which is classified as a pedestrian / non-pedestrian by an SVM classifier. The pedestrian detection system has been tested in an advanced driver assistance system for urban driving.
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Proceeding of: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems October 7-12, 2012. Vilamoura, Algarve, Portugal.
Keywords
Pedestrian detection, Infrared images
Bibliographic citation
2012 IEEE/RSI International Conference on Intelligent Robots and System (IROS). Estados Unidos de America: IEEE - The Institute of Electrical and Electronics Engineers, pp. 3067-3072