Paper Info
Title
Moving object classification in infrared and visible spectra.
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.
Year
DOI
Venue
2016
10.1117/12.2268414
Proceedings of SPIE
Keywords
Field
DocType
Moving object classification,machine learning,intelligent fusion,infrared spectrum,visible spectrum
Computer vision,Computer science,Spectral line,Visible spectrum,Artificial intelligence,Infrared,Snow
Conference
Volume
ISSN
Citations 
10341
0277-786X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Rania Rebai Boukhriss161.81
Emna Fendri2127.28
Mohamed Hammami318130.54