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Author Fernández-Caballero, Antonio ♦ López, María T. ♦ Serrano-Cuerda, Juan
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Natural sciences & mathematics ♦ Mathematics ♦ Life sciences; biology ♦ Physiology & related subjects ♦ Natural history of organisms ♦ Technology ♦ Medicine & health ♦ Human physiology ♦ Diseases ♦ Manufacture for specific uses ♦ Precision instruments & other devices
Subject Domain (in MeSH) Eukaryota ♦ Organisms ♦ Diagnosis ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment ♦ Physical Phenomena ♦ Musculoskeletal and Neural Physiological Phenomena ♦ Biological Phenomena ♦ Mathematical Concepts ♦ Biological Sciences ♦ Information Science ♦ Information Science
Subject Keyword Discipline Biotechnology ♦ Algorithms ♦ Infrared Rays ♦ Motion ♦ Thermography ♦ Methods ♦ Walking ♦ Physiology ♦ Environment ♦ Humans ♦ Video Recording ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
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.
Description Country affiliation: Spain
Author Affiliation: Fernández-Caballero A ( Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071-Albacete, Spain.; López MT ( Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071-Albacete, Spain.; Serrano-Cuerda J ( Instituto de Investigación en Informática de Albacete, 02071-Albacete, Spain.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-04-10
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 14
Issue Number 4

Source: WHO-Global Index Medicus