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Proceedings Paper

Fusion of thermal infrared and visible spectrum for robust pedestrian tracking
Author(s): Moulay A. Akhloufi; Celia Porcher; Abdelhakim Bendada
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Paper Abstract

Tracking pedestrians is an area of computer vision that has attracted a lot of interest in recent years. Many of these work was conducted in the visible spectrum. Some work was also conducted in thermal infrared spectrum. The majority of the research work used one spectrum at a time. In this work, we present a fusion framework using thermal infrared and visible spectrums in order to robustly track the detected moving objects. The detected objects are then processed using HOG features in order to classify them as a pedestrian or a non-pedestrian using SVM. The tests were conducted in outdoor scenarios. The obtained results are promising and show the efficiency of the proposed framework.

Paper Details

Date Published: 9 June 2014
PDF: 8 pages
Proc. SPIE 9076, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI, 90760O (9 June 2014); doi: 10.1117/12.2063306
Show Author Affiliations
Moulay A. Akhloufi, Ctr. of Industrial Robotics and Vision (Canada)
Celia Porcher, Ctr. of Industrial Robotics and Vision (Canada)
Abdelhakim Bendada, Univ. Laval (Canada)

Published in SPIE Proceedings Vol. 9076:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; S. Danny Rajan; Thomas J. Walls; Darrell L. Young, Editor(s)

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