Moving object classification in infrared and visible spectra

Rania Rebai Boukhriss; Emna Fendri; Mohamed Hammami

doi:10.1117/12.2268414

17 March 2017 Moving object classification in infrared and visible spectra

Rania Rebai Boukhriss, Emna Fendri, Mohamed Hammami

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034104 (2017) https://doi.org/10.1117/12.2268414
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Rania Rebai Boukhriss, Emna Fendri, and Mohamed Hammami "Moving object classification in infrared and visible spectra", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034104 (17 March 2017); https://doi.org/10.1117/12.2268414

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