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Moving object classification in infrared and visible spectra
Author(s): Rania Rebai Boukhriss; Emna Fendri; Mohamed Hammami
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Paper Abstract

This paper introduces a novel method of moving object classification in Infrared and Visible spectra. This method is based on a data-mining process by combining a set of best features based on shape, texture and motion. The proposed method relies either on visible spectrum or on infrared spectrum according to weather conditions (sunny days, rain, fog, snow, etc.) and timing of the video acquisition. Experimental studies are carried out to prove the efficiency of our predictive models to classify moving objects and the originality of our process with intelligent fusion of VIS-IR spectra.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034104 (17 March 2017); doi: 10.1117/12.2268414
Show Author Affiliations
Rania Rebai Boukhriss, Univ. de Sfax (Tunisia)
Emna Fendri, Univ. de Sfax (Tunisia)
Mohamed Hammami, Univ. de Sfax (Tunisia)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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