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

Sensors

Antonio Fernández-Caballero¹  Mar໚ T. López¹ 

[1] Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071-Albacete, Spain; E-Mail:

关键词: thermal-infrared video;    pedestrians;    segmentation;    ROI extraction;    evaluation;   

DOI  :  10.3390/s140406666

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.