Moving object classification in infrared and visible spectra
Rania Rebai Boukhriss, Emna Fendri, Mohamed Hammami · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
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.