Segmenting human from photo images based on a coarse-to-fine scheme

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 42, Issue 3, 2012, Pages 889-899

  Lu, Huchuan ^a   Fang, Guoliang ^a   Shao, Xinqing ^a   Li, Xuelong ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Graph cuts; human segmentation; multicue coarse torso detection algorithm (MCTD); multiple oblique histogram (MOH)

Indexed keywords

COARSE-TO-FINE; COARSE-TO-FINE STRATEGY; COLOR PHOTOS; DATA SETS; DETECTION ALGORITHM; GRAPH CUT; GROUND TRUTH DATA; HUMAN BODIES; HUMAN KINEMATICS; HUMAN SEGMENTATION; LOWER BODY; MULTIPLE OBLIQUE HISTOGRAM (MOH); PHOTO CLASSIFICATION; PHOTO IMAGES; TRAINING PHASE;

ALGORITHMS; GRAPHIC METHODS; IMAGE MATCHING; IMAGE RETRIEVAL; SIGNAL DETECTION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; HUMAN; METHODOLOGY; PHOTOGRAPHY; WHOLE BODY IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; WHOLE BODY IMAGING;

EID: 84862825758     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2011.2182048     Document Type: Article

References (39)

1. Z. Liu and S. Sarkar, "Improved gait recognition by gait dynamics normalization," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 6, pp. 863-876, Jun. 2006.
2. X. Li, S. Lin, S. Yan, and D. Xu, "Discriminant locally linear embedding with high-order tensor data," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 2, pp. 342-352, Apr. 2008. (Pubitemid 351479557)
3. W. Tao, H. Jin, and Y. Zhang, "Color image segmentation based on mean shift and normalized cuts," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 37, no. 5, pp. 1382-1389, Oct. 2007. (Pubitemid 47534601)
4. B. Wang, X. Gao, D. Tao, and X. Li, "A unified tensor level set for image segmentation," IEEE Trans. Syst.,Man, Cybern. B, Cybern., vol. 40, no. 3, pp. 857-867, Jun. 2010.
5. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 5, pp. 1267-1279, Oct. 2010.
6. X. Gao, B. Wang, D. Tao, and X. Li, "A relay level set method for automatic image segmentation," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 41, no. 2, pp. 518-525, Apr. 2011.
7. J. Winn and N. Jojic, "Locus: Learning object classes with unsupervised segmentation," in Proc. ICCV, 2005, pp. 756-763. (Pubitemid 44055031)
8. P. Kohli, J. Rihan, M. Bray, and P. Torr, "Simultaneous segmentation and pose estimation of humans using dynamic graph cut," Int. J. Comput. Vis., vol. 79, no. 3, pp. 285-298, Sep. 2008.
9. S. Gould, R. Fulton, and D. Koller, "Decomposing a scene into geometric and semantically consistent regions," in Proc. ICCV, 2009, pp. 1-8.
10. T. Cour and J. Shi, "Recognizing objects by piecing together the segmentation puzzle," in Proc. CVPR, 2007, pp. 1-8.
11. P. Felzenszwalb and D. Huttenlocher, "Pictorial structures for object recognition," Int. J. Comput. Vis., vol. 61, no. 1, pp. 55-79, Jan. 2005.
12. Y. Boykov and M.-P. Jolly, "Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images," in Proc. ICCV, 2001, pp. 105-112. (Pubitemid 32794944)
13. Y. Boykov and V. Kolmogorov, "An experimental comparison of mincut/max-flow algorithms for energy minimization in vision," in Proc. EMMCVPR, 2001, pp. 359-374. (Pubitemid 33331827)
14. C. Huang, H. Ai, Y. Li, and S. Lao, "Vector boosting for rotation invariant multiview face detection," in Proc. ICCV, 2005, pp. 446-453. (Pubitemid 44054991)
15. J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, Aug. 2000.
16. M. Maire, P. Arbelaez, C. Fowlkes, and J. Malik, "Using contours to detect and localize junctions in natural images," in Proc. CVPR, 2008, pp. 1-8.
17. Y. Huang, Q. Liu, and D. N. Metaxas, "Video object segmentation by hypergraph cut," in Proc. CVPR, 2009, pp. 1738-1745.
18. Z. Yin and R. T. Collins, "Shape constrained figure-ground segmentation and tracking," in Proc. CVPR, 2009, pp. 731-738.
19. W. Brendel and S. Todorovic, "Video object segmentation by tracking regions," in Proc. ICCV, 2009, pp. 833-840.
20. H. Jiang, "Finding human poses in videos using concurrent matching and segmentation," in Proc. ACCV, 2010.
21. Z. Lin, L. S. Davis, D. S. Doermann, and D. DeMenthon, "Hierarchical part-template matching for human detection and segmentation," in Proc. ICCV, 2007, pp. 1-8.
22. M. Kumar and P. Torr, "OBJCUT: Efficient segmentation using top-down and bottom-up cues," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 3, pp. 530-545, Mar. 2010.
23. G. Mori, X. Ren, A. Efros, and J. Malik, "Recovering human body configurations: Combining segmentation and recognition," in Proc. CVPR, 2004, pp. 326-333.
24. X. Ren, A. C. Berg, and J. Malik, "Recovering human body configurations using pairwise constraints between parts," in Proc. ICCV, 2005, pp. 824-831. (Pubitemid 44055040)
25. G. Hua, M.-H. Yang, and Y. Wu, "Learning to estimate human pose with data driven belief propagation," in Proc. CVPR, 2005, pp. 747-754.
26. W. Gao, H. Ai, and S. Lao, "Adaptive contour features in oriented granular space for human detection and segmentation," in Proc. CVPR, 2009, pp. 1786-1793.
27. Z. Lin, L. Davis, D. Doermann, and D. DeMenthon, "An interactive approach to pose-assisted and appearance-based segmentation of human," in Proc. ICCV, 2007, pp. 1-8.
28. S. Ioffe and D. A. Forsyth, "Probabilistic methods for finding people," Int. J. Comput. Vis., vol. 43, no. 1, pp. 45-68, Jun. 2001. (Pubitemid 32723477)
29. J. Malik, S. Belongie, T. K. Leung, and J. Shi, "Contour and texture analysis for image segmentation," Int. J. Comput. Vis., vol. 43, no. 1, pp. 7-27, Jun. 2001. (Pubitemid 32720090)
30. D. R. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using local brightness, color, and texture cues," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 530-549, May 2004.
31. C. Chen and G. Fan, "Hybrid body representation for integrated pose recognition localization and segmentation," in Proc. CVPR, 2008, pp. 1-8.
32. V. Ferrari, M. Marín-Jiménez, and A. Zisserman, "2D human pose estimation in TV shows," Statistical and Geometrical Approaches to Visual Motion Analysis , pp. 128-147, 2009.
33. L. Bourdev, S. Maji, T. Brox, and J. Malik, "Detecting people using mutually consistent poselet activations," in Proc. ECCV, 2010, pp. 168-181.
34. O. Freifeld, A. Weiss, S. Zuffi, and M. J. Black, "Contour people: A parameterized model of 2D articulated human shape," in Proc. CVPR, 2010, pp. 639-646.
35. M. And riluka, S. Roth, and B. Schiele, "Pictorial structures revisited: People detection and articulated pose estimation," in Proc. CVPR, 2009, pp. 1014-1021.
36. Z. Hu, H. Yan, and X. Lin, "Clothing segmentation using foreground and background estimation based on the constrained Delaunay triangulation," Pattern Recognit., vol. 41, no. 5, pp. 1581-1592, May 2008.
37. Z. Hu, X. Lin, and H. Yan, "Torso detection in static images," in Proc. IEEE Int. Conf. Signal Process., 2007, vol. 3, pp. 1-4.
38. D. Ramanan, "Learning to parse images of articulated bodies," in Proc. NIPS, 2006, pp. 1129-1136.
39. A. K. Sinop and L. Grady, "A seeded image segmentation framework unifying graph cuts and r and om walker which yields a new algorithm," in Proc. ICCV, 2007, pp. 1-8.