9 June 2014 Fusion of thermal infrared and visible spectrum for robust pedestrian tracking
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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.
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Moulay A. Akhloufi, Moulay A. Akhloufi, Celia Porcher, Celia Porcher, Abdelhakim Bendada, Abdelhakim Bendada, "Fusion of thermal infrared and visible spectrum for robust pedestrian tracking", Proc. SPIE 9076, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI, 90760O (9 June 2014); doi: 10.1117/12.2063306; https://doi.org/10.1117/12.2063306
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