This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Fuzzy foreground detection for infrared videos
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Fida El Baf, University of La Rochelle - France, Laboratory of Mathematics, Images and Applications
Thierry Bouwmans, University of La Rochelle - France, Laboratory of Mathematics, Images and Applications
Bertrand Vachon, University of La Rochelle - France, Laboratory of Mathematics, Images and Applications
We present a foreground detection algorithm based on a fuzzy integral that is particularly suitable for infrared videos. The proposed detection of moving objects is based on fusing intensity and textures using fuzzy integral. The detection results are then used to update the background in a fuzzy way. This method allows to robustly detect moving object in presence of cloudy and rainy conditions. Our theoretical and experimental results show that the proposed method gives similar results than the KaewTraKulPong and Bowden approach based on Mixture Of Gaussians (MOG) with less memory requirement and time consuming. The results using the OTCBVS benchmark/test dataset videos show the robustness of the proposed method.
Citation:
Fida El Baf, Thierry Bouwmans, Bertrand Vachon, "Fuzzy foreground detection for infrared videos," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
Usage of this product signifies your acceptance of the Terms of Use.