Using the forest to see the trees: Exploiting context for visual object detection and localization

Communications of the ACM

Volumn 53, Issue 3, 2010, Pages 107-114

  Torralba, A ^a   Murphy, K P ^b   Freeman, W T ^a  

^a Department of Electrical Engineering and Computer Science   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE AREA; BRUTE FORCE; COMMERCIAL PRODUCTS; DETECTING OBJECTS; EXHAUSTIVE SEARCH; GENERAL PURPOSE; IMAGE REGIONS; INDIVIDUAL OBJECTS; INTEGRATED SYSTEMS; MACHINE VISION SYSTEMS; OBJECT MODEL; OBJECT PROPERTY; OBJECT RECOGNITION SYSTEMS; PROBABILISTIC FRAMEWORK; SEARCH SPACES; SEMANTIC STRUCTURES; VISUAL OBJECTS;

INTEGRATED OPTICS; OBJECT RECOGNITION;

COMPUTER VISION;

EID: 77649264846     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/1666420.1666446     Document Type: Article

References (20)

1. Fei-Fei, L., Perona, P. A bayesian hierarchical model for learning natural scene categories. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2005), 524-531.
2. Heeger, D., Bergen, J.R. Pyramid-based texture analysis/synthesis. In SIGGRAPH '95: Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques (new york, usA, 1995). ACM, ny, 229-238.
3. Hoiem, D., Efros, A., hebert, M. Geometric context from a single image. In IEEE International Conference on Computer Vision (2005).
4. Jordan, M.I., Jacobs, r.A. hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6 (1994), 181-214.
5. Koller, D., Friedman, n. Probabilistic Graphical Models: Principles and Techniques. MIT Press, 2009.
6. Kumar, s., hebert, M. Discriminative random felds: A discriminative framework for contextual interaction in classifcation. In IEEE International Conference on Computer Vision (2003).
7. Lazebnik, S., Schmid, C., Ponce, J. beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2006), 2169-2178.
8. Murphy, K., Torralba, A., Eaton, D., Freeman, W.T. object detection and localization using local and global features. Toward Category-Level Object Recognition. J. Ponce, M. hebert, C. schmidt, and A. Zisserman, eds. 2006.
9. Murphy, K., Torralba, A., Freeman, W. using the forest to see the trees: a graphical model relating features, objects and scenes. In Advances in Neural Information Proceedings Systems (2003).
10. Oliva, A., schyns, P.G. Diagnostic color blobs mediate scene recognition. Cogn. Psychol. 41 (2000), 176-210.
11. Oliva, A., Torralba, A. Modeling the shape of the scene: A holistic representation of the spatial envelope. Int. J. Comp. Vision 42 (2001), 145-175.
12. Quattoni, A., Torralba, A. recognizing indoor scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2009), 413-420.
13. Rabinovich, A., Vedaldi, A., Galleguillos, C., Wiewiora, E., belongie, s. objects in context. In IEEE International Conference on Computer Vision (rio de Janeiro, 2007).
14. Richard, X.H., Zemel, R.S., Carreira-perpinan, M.A. Multiscale conditional random felds for image labeling. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2004), 695-702.
15. Russell, B.C., Torralba, A., Murphy, K.P., Freeman, W.T. LabelMe: a database and web-based tool for image annotation. Int. J. Comp. Vision 77, 1-3 (2008), 157-173.
16. Strat, T.M., Fischler, M.A. Context-based vision: recognizing objects using information from both 2-D and 3-D imagery. IEEE Transaction on Pattern Analysis and Machine Intelligence 13, 10 (1991) 1050-1065.
17. Torralba, A. Contextual priming for object detection. Int. J. Comp. Vision 53, 2 (2003), 153-167.
18. Torralba, A., Murphy, K., Freeman, W. Contextual models for object detection using boosted random felds. In Advances in Neural Information Proceedings Systems (2004).
19. Torralba, A., Murphy, K.P., Freeman, W.T. sharing visual features for multiclass and multiview object detection. IEEE Trans. Pattern Anal. Mach. Intell. 29, 5 (2007), 854-869.
20. Viola, P., Jones, M. robust real-time object detection. Int. J. Comp. Vision 57, 2 (2004), 137-154.