Fast and robust object segmentation with the integral linear classifier

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 1046-1053

  Aldavert, David ^a   Ramisa, Arnau ^b   De Mantaras, Ramon Lopez ^c   Toledo, Ricardo ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b INRIA   (France)

^c ARTIFICIAL INTELLIGENCE RESEARCH INSTITUTE IIIA CSIC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BAG OF FEATURES; BUILDING BLOCKES; CASCADE CLASSIFIERS; DATA SETS; EFFICIENT METHOD; INTEGRAL IMAGES; K-MEANS; LINEAR CLASSIFIERS; LOCAL DESCRIPTORS; MULTI-CLASS; OBJECT SEGMENTATION; STATE OF THE ART; STATE-OF-THE-ART METHODS;

CLASSIFIERS; COMPUTER VISION; IMAGE SEGMENTATION;

COMPUTATIONAL METHODS;

EID: 77955996057     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540098     Document Type: Conference Paper

References (26)

1. H. Bay, A. Ess, T. Tuytelaars, and L. van Gool. Surf: Speeded up robust features. CVIU, 110(3):346-359, 2008.
2. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. PAMI, 24(4):509-522, 2002.
3. M. Cummins and P. Newman. Accelerated appearance-only slam. In Proc. ICRA, 2008.
4. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. http://www.pascalnetwork.org/challenges/VOC/voc2007/workshop/index.html.
5. R. Fan, K. Chang, C. Hsieh, X. Wang, and C. Lin. Liblinear: A library for large linear classification. J. Machine Learning Research, 9:1871-1874, 2008.
6. B. Fulkerson, A. Vedaldi, and S. Soatto. Localizing objects with smart dictionaries. In Proc. ECCV, 2008.
7. B. Fulkerson, A. Vedaldi, and S. Soatto. Class segmentation and object localization with superpixel neighborhoods. In Proc. ICCV, 2009.
8. F. Khan, J. van de Weijer, and M. Vanrell. Top-down color attention for object recognition. In Proc. ICCV, 2009.
9. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In Proc. CVPR, 2008.
10. D. Larlus, J. Verbeek, and F. Jurie. Category level object segmentation by combining bag-of-words models with dirichlet processes and random fields. IJCV, 2010.
11. S. Lazebnik, C. Schmid, and J. Ponce. A sparse texture representation using local affine regions. PAMI, 27(8):1265-1278, 2005.
12. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Proc. CVPR, 2006.
13. C. Lin, R. C. Weng, and S. S. Keerthi. Trust region newton methods for large-scale logistic regression. In Proc. ICML, 2007.
14. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
15. M. Marszalek and C. Schmid. Accurate object localization with shape masks. In Proc. CVPR, 2007.
16. F. Moosmann, E. Nowak, and F. Jurie. Randomized clustering forests for image classification. PAMI, 30(9):1632-1646, 2008.
17. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In Proc. CVPR, 2006.
18. E. Nowak, F. Jurie, and B. Triggs. Sampling strategies for bag-of-features image classification. In Proc. ECCV, 2006.
19. A. Opelt, A. Pinz, M. Fussenegger, and P. Auer. Generic object recognition with boosting. PAMI, 28(3):416-431, 2006.
20. C. Pantofaru, C. Schmid, and H. Martial. Object recognition by integrating multiple image segmentations. In Proc. ECCV, 2008.
21. A. Ramisa, A. Tapus, D. Aldavert, R. Toledo, and R. Lopez de Mantaras. Robust vision-based robot localization using combinations of local feature region detectors. Autonomous Robots, 27(4):373-385, 2009.
22. J. Shotton, M. Johnson, and R. Cipolla. Semantic texton forests for image categorization and segmentation. In Proc. CVPR, 2008.
23. T. Tuytelaars and C. Schmid. Vector quantizing feature space with a regular lattice. In Proc. ICCV, 2007.
24. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. CVPR, 2001.
25. J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: A comprehensive study. IJCV, 73(2):213-238, 2007.
26. Q. Zhu, M. Yeh, K. Cheng, and S. Avidan. Fast human detection using a cascade of histograms of oriented gradients. In Proc. CVPR, 2006.