Quantifying and transferring contextual information in object detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 34, Issue 4, 2012, Pages 762-777

  Zheng, Wei Shi ^a   Gong, Shaogang ^b   Xiang, Tao ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Context modeling; object detection; transfer learning

Indexed keywords

CONTEXT ANNOTATION; CONTEXT INFERENCE; CONTEXT LEARNING; CONTEXT MODELING; CONTEXT MODELS; CONTEXT TRANSFER; CONTEXTUAL INFORMATION; DATA SETS; DESCRIPTORS; LEARNING FRAMEWORKS; LIMITED DATA; MAXIMUM MARGIN; OBJECT CLASS; OBJECT DETECTION; SCENE SEGMENTATION; TARGET OBJECT; TRAINING SAMPLE; TRAINING SETS; TRANSFER LEARNING; VEHICLE DETECTION; VISUAL APPEARANCE;

VISUALIZATION;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATTERN RECOGNITION; PHYSIOLOGY; VISION;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; VISUAL PERCEPTION;

EID: 84857428624     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.164     Document Type: Article

References (52)

1. R. Ando and T. Zhang, "A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data," J. Machine Learning Research, vol. 6, pp. 1817-1853, 2005.
2. S.Y.-Z. Bao, M. Sun, and S. Savarese, "Toward Coherent Object Detection and Scene Layout Understanding," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 65-72, 2010.
3. M. Bar and S. Ullman, "Spatial Context in Recognition," Perception, vol. 25, pp. 343-352, 1993. (Pubitemid 126695534)
4. K. Barnard, P. Duygulu, D. Forsyth, N. de Freitas, D.M. Blei, and M. Jordan, "Matching Words and Pictures," J. Machine Learning Research, vol. 3, pp. 1107-1135, 2003.
5. E. Bart and S. Ullman, "Cross-Generalization-Learning Novel Classes from a Single Example by Feature Replacement," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005.
6. S. Belongie, J. Malik, and J. Puzicha, "Shape Matching and Object Recognition Using Shape Contexts," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 4, pp. 509-522, Apr. 2002. (Pubitemid 34448769)
7. I. Biederman, R.J. Mezzanotte, and J.C. Rabinowitz, "Scene Perception: Detecting and Judging Objects Undergoing Relational Violations," Cognitive Psychology, vol. 14, pp. 143-177, 1982.
8. A. Bosch, A. Zisserman, and X.M. Noz, "Scene Classification via Plsa," Proc. European Conf. Computer Vision, 2006.
9. P. Carbonetto, N. de Freitas, and K. Barnard, "A Statistical Model for General Contextual Object Recognition," Proc. European Conf. Computer Vision, 2004.
10. W. Choi, K. Shahid, and S. Savarese, "What Are They Doing?: Collective Activity Classification Using Spatio-Temporal Relationship among People," Proc. 12th IEEE Int'l Conf. Computer Vision Workshops, pp. 1282-1289, 2009.
11. W. Choi, K. Shahid, and S. Savarese, "Learning Context for Collective Activity Recognition," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, 2011.
12. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005.
13. S.K. Divvala, D. Hoiem, J.H. Hays, A.A. Efros, and M. Hebert, "An Empirical Study of Context in Object Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.
14. L. Duan, I.W. Tsang, D. Xu, and S.J. Maybank, "Domain Transfer SVM for Video Concept Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.
15. M. Everingham, "The 2005 Pascal Visual Object Classes Challenge," Proc. Machine Learning Challenges Workshop, 2005.
16. M. Everingham, L. Van Gool, C. Williams, J. Winn, and A. Zisserman, "The PASCAL Visual Object Classes (VOC) Challenge," Int'l J. Computer Vision, vol. 88, no. 2, pp. 303-338, 2010.
17. L. Fei-Fei, R. Fergus, and P. Perona, "One-Shot Learning of Object Categories," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 4, pp. 594-611, Apr. 2006. (Pubitemid 43264657)
18. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan, "Object Detection with Discriminatively Trained Part-Based Models," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 9, pp. 1627-1645, Sept. 2010.
19. C. Fowlkes, S. Belongie, F. Chung, and J. Malik, "Spectral Grouping Using the Nystrom Method," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 214-225, Feb. 2004.
20. C. Galleguillos and S. Belongie, "Context Based Object Categorization: A Critical Survey," Computer Vision and Image Understanding, vol. 114, no. 6, pp. 712-722, 2010.
21. C. Galleguillos, B. McFee, S. Belongie, and G. Lanckriet, "Multi-Class Object Localization by Combining Local Contextual Interactions," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2010.
22. C. Galleguillos, A. Rabinovich, and S. Belongie, "Object Categorization Using Co-Occurrence, Location and Appearance," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.
23. K. Grauman and T. Darrell, "The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features," Proc. IEEE Int'l Conf. Computer Vision, pp. 1458-1465, 2005. (Pubitemid 44042350)
24. A. Gupta and L.S. Davis, "Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifier," Proc. European Conf. Computer Vision, 2008.
25. G. Heitz and D. Koller, "Learning Spatial Context: Using Stuff to Find Things," Proc. European Conf. Computer Vision, 2008.
26. D. Hoiem, A. Efros, and M. Hebert, "Putting Objects in Perspective," Int'l J. Computer Vision, vol. 80, no. 1, pp. 3-15, 2008.
27. i-LIDS Team, "Imagery Library for Intelligent Detection Systems (i-LIDS)," Proc. Ann. IEEE Int'l Carnahan Conf. Security Technology, 2006.
28. S. Kumar and M. Hebert, "A Hierarchical Field Framework for Unified Context-Based Classification," Proc. IEEE Int'l Conf. Computer Vision, 2005.
29. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2006.
30. K. Mikolajczyk and C. Schmid, "A Performance Evaluation of Local Descriptors," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 10, pp. 1615-1630, Oct. 2005. (Pubitemid 41555406)
31. K. Murphy, A. Torralba, and W. Freeman, "Using the Forest to See the Tree: A Graphical Model Relating Features, Objects and the Scenes," Advances in Neural Information Processing Systems, MIT Press, 2003.
32. J. Nocedal and S. Wright, Numerical Optimization, second ed. Springer, 2006.
33. S. Pan and Q. Yang, "A Survey on Transfer Learning," IEEE Trans. Knowledge and Data Eng., vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
34. S.J. Pan, J.T. Kwok, and Q. Yang, "Transfer Learning via Dimensionality Reduction," Proc. 23rd AAAI Conf. Artificial Intelligence, pp. 677-682, 2008.
35. S.J. Pan, I.W. Tsang, J.T. Kwok, and Q. Yang, "Domain Adaptation via Transfer Component Analysis," Proc. Int'l Joint Conf. Artificial Intelligence, 2009.
36. R. Perko and A. Leonardis, "Context Driven Focus of Attention for Object Detection," Proc. Int'l Workshop Attention in Cognitive Systems, 2007.
37. R. Perko, C. Wojek, B. Schiele, and A. Leonardis, "Probabilistic Combination of Visual Context Based Attention and Object Detection," Proc. Int'l Workshop Attention in Cognitive Systems, 2008.
38. A. Rabinovich, A. Vedaldi, C. Galleguillos, E. Wiewiora, and S. Belongie, "Objects in Context," Proc. IEEE Int'l Conf. Computer Vision, 2007.
39. R. Raina, A. Battle, H. Lee, B. Packer, and A.Y. Ng, "Self-Taught Learning: Transfer Learning from Unlabeled Data," Proc. 24th Int'l Conf. Machine Learning, pp. 759-766, 2007.
40. X. Ren and J. Malik, "Learning a Classification Model for Segmentation," Proc. IEEE Int'l Conf. Computer Vision, 2003.
41. M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych, and B. Schiele, "What Helps Where and Why? Semantic Relatedness for Knowledge Transfer," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, 2010.
42. S. Savarese, J. Winn, and A. Criminisi, "Discriminative Object Class Models of Appearance and Shape by Correlatons," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, 2006.
43. B. Schölkopf, A.J. Smola, R.C. Williamson, and P.L. Bartlett, "New Support Vector Algorithms," Neural Computation, vol. 12, no. 5, pp. 1207-1245, 2000.
44. A. Singhal, J. Luo, and W. Zhu, "Probabilistic Spatial Context Models for Scene Content Understanding," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2003.
45. A. Torralba, "Contextual Priming for Object Detection," Int'l J. Computer Vision, vol. 53, no. 2, pp. 169-191, 2003.
46. A. Torralba, K. Murphy, W. Freeman, and M. Rubin, "Context-Based Vision System for Place and Object Recognition," Proc. IEEE Int'l Conf. Computer Vision, 2003.
47. A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman, "Multiple Kernels for Object Detection," Proc. IEEE Int'l Conf. Computer Vision, 2009.
48. L. Wolf and S. Bileschi, "A Critical View of Context," Int'l J. Computer Vision, vol. 69, no. 2, pp. 251-261, 2006. (Pubitemid 43814120)
49. J. Yang, R. Yan, and A.G. Hauptmann, "Cross-Domain Video Concept Detection Using Adaptive Svms," Proc. Int'l Conf. Multimedia, pp. 188-197, 2007.
50. Y. Zhang and D. Yeung, "A Convex Formulation for Learning Task Relationships in Multi-Task Learning," Proc. 24th Conf. Uncertainty in Artificial Intelligence, 2010.
51. W.-S. Zheng, S. Gong, and T. Xiang, "Quantifying Contextual Information for Object Detection," Proc. IEEE Int'l Conf. Computer Vision, 2009.
52. A. Zweig and D. Weinshall, "Exploiting Object Hierarchy: Combining Models from Different Category Levels," Proc. 11th IEEE Int'l Conf. Computer Vision, 2007.