Robust fuzzy statistical modeling of dynamic backgrounds in IR videos

作者: Fida El Baf

DOI: 10.1117/2.1200911.1842

关键词:

摘要:

参考文章(6)
Fida El Baf, Thierry Bouwmans, Bertrand Vachon, Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling Advances in Visual Computing. pp. 772- 781 ,(2008) , 10.1007/978-3-540-89639-5_74
Thierry Bouwmans, Fida El Baf, Bertrand Vachon, Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey Recent Patents on Computer Science. ,vol. 1, pp. 219- 237 ,(2008) , 10.2174/1874479610801030219
C. Stauffer, W.E.L. Grimson, Adaptive background mixture models for real-time tracking computer vision and pattern recognition. ,vol. 2, pp. 246- 252 ,(1999) , 10.1109/CVPR.1999.784637
Fida El Baf, Thierry Bouwmans, Bertrand Vachon, Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos computer vision and pattern recognition. pp. 60- 65 ,(2009) , 10.1109/CVPRW.2009.5204109
Liyuan Li, Weimin Huang, Irene Yu-Hua Gu, Qi Tian, Statistical modeling of complex backgrounds for foreground object detection IEEE Transactions on Image Processing. ,vol. 13, pp. 1459- 1472 ,(2004) , 10.1109/TIP.2004.836169
Fida El Baf, Thierry Bouwmans, Modeling of Dynamic Backgrounds by Type-2 Fuzzy Gaussians Mixture Models Journal of Basic and Applied Sciences. ,vol. 1, pp. 265- 276 ,(2010)