Classification of weather situations on single color images

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2008, Pages 798-803

  Roser, Martin ^a   Moosmann, Frank ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE ELECTRONIC EQUIPMENT; COMPUTER VISION; IMAGE ENHANCEMENT; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; VISUAL COMMUNICATION;

COLOR IMAGES; DESCRIPTORS; DRIVER ASSISTANCE SYSTEMS; GROUND BASE; HEAVY RAINS; HIGH ACCURACIES; IMAGE DESCRIPTOR; LIMITED VISIBILITIES; MACHINE VISIONS; PRIOR KNOWLEDGES; REAL TRAFFICS; RELIABLE DETECTIONS; VISION SYSTEMS; VISION-BASED; WEATHER CONDITIONS;

AUTOMOBILE DRIVERS;

EID: 57749196760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621205     Document Type: Conference Paper

References (20)

1. Serge Belongie, Jitendra Malik, and Jan Puzicha. Shape context: A new descriptor for shape matching and object recognition. In NIPS, pages 831-837, 2000.
2. G. Csurka, C. Dance, L. Fan, J. Williamowski, and C. Bray. Visual categorization with bags of keypoints. In ECCV'04 workshop on Statistical Learning in CV, pages 59-74, 2004.
3. Navneet Dalai and Bill Triggs. Histograms of oriented gradients for human detection. In Cordelia Schmid, Stefano Soatto, and Carlo Tomasi, editors, International Conference on Computer Vision & Pattern Recognition, volume 2, pages 886-893, INRIA Rhone-Alpes, ZIRST-655, av. de l'Europe, Montbonnot-38334, June 2005.
4. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern classification. Wiley, 2. ed. edition, 2001.
5. R. Fergus, L. Fei-Fei, P. Perona, and A. Zisserman. Learning object categories from google's image search. In ICCV'05: Proceedings of the Tenth IEEE International Conference on Computer Vision, pages 1816-1823, Washington, DC, USA, 2005. IEEE Computer Society.
6. R. Ferzli and L.J. Karam. Human visual system based no-reference objective image sharpness metric. In IEEE Internatl. Conference on Image Processing, pages 2949-2952, Atlanta, GA, 2006.
7. P. Gabriel, J.-B. Hayet, J. Piatera, and J. Verly. Object tracking using color interest points. In IEEE Conference on Advanced Video and Signal Based Surveillance, pages 159-164, 2005.
8. K. Garg and S, K, Nayar. Vision and rain. Internatl. Journal of Computer Vision, 75(1):3-27, 2007.
9. N. Hautière, R. Labayrade, and D. Aubert. Real-time disparity contrast combination for onboard estimation of the visibility distance. In IEEE Transactions on Intelligent Transportation Systems, volume 7, 2006.
10. H. Kurihata, T. Takahashi, I. Ide, Y. Mekade, H. Muraseand Y. Tamatsu, and T. Miyahara. Rainy weather recognition from in-vehicle camera images for driver assistance. In IEEE Proceedings, Intelligent Vehicles Symposium, pages 205-210, 2005.
11. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, 2:2169-2178, 2006.
12. David G. Lowe. Object recognition from local scale-invariant features. In Proc. of the International Conference on Computer Vision ICCV, Corfu, pages 1150-1157, 1999.
13. Raphaël Marée, Pierre Geurts, Justus Piater, and Louis Wehenkel. Random subwindows for robust image classification. In Cordelia Schmid, Stefano Soatto, and Carlo Tomasi, editors, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005), volume 1, pages 34-40. IEEE, June 2005.
14. S.G. Narasimhan and S.K. Nayar. Chromatic framework for vision in bad weather. In IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 598-605, 2000.
15. S.G. Narasimhan and S. K, Nayar. Removing weather effects from monochrome images. In IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 186-193, 2001.
16. S.G. Narasimhan and S.K. Nayar, Vision and the atmosphere. Internatl. Journal of Computer Vision, 48(3):233-254, 2002.
17. Andreas Opelt and Axel Pinz. Object localization with boosting and weak supervision for generic object recognition. In SCIA, pages 862-871, 2005.
18. J.L. Pech-Pacheco, G. Cristóbal, J. Chamorro-Martínez, and J. Fernández-Valdivia. Diatom autofocusing in brightfield microscopy: a comparitive study. In IEEE I5th Internatl. Conference on Pattern Recognition, volume 3, pages 314-317, 2000.
19. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, volume 2, pages 1470-1477, October 2003.
20. J. Weijer and C. Schmid. Coloring local feature extraction. In Lecture Notes in Computer Science, Berlin, Germany, 2006. Springer.