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Sensors 2014, 14(4), 6666-6676; doi:10.3390/s140406666

Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion

1
Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071-Albacete, Spain
2
Instituto de Investigación en Informática de Albacete, 02071-Albacete, Spain
*
Author to whom correspondence should be addressed.
Received: 14 March 2014 / Revised: 2 April 2014 / Accepted: 4 April 2014 / Published: 10 April 2014
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Abstract

This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion. In this sense, the environment chosen for evaluation is described, and the twelve test sequences are specified. For each of the sequences captured from a forward-looking infrared FLIR A-320 camera, the paper explains the weather and light conditions under which it was captured. The results allow us to draw firm conclusions about the conditions under which it can be affirmed that it is efficient to use our thermal-infrared proposal to robustly extract human ROIs. View Full-Text
Keywords: thermal-infrared video; pedestrians; segmentation; ROI extraction; evaluation thermal-infrared video; pedestrians; segmentation; ROI extraction; evaluation
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Fernández-Caballero, A.; López, M.T.; Serrano-Cuerda, J. Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion. Sensors 2014, 14, 6666-6676.

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