Pose estimation and segmentation of people in 3D movies

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2112-2119

  Alahari, Karteek ^a,c   Seguin, Guillaume ^b,c   Sivic, Josef ^a,c   Laptev, Ivan ^a,c  

^a INRIA   (France)

^b ECOLE NORMALE SUPÉRIEURE   (France)

^c CNRS   (France)

Author keywords

Pose estimation; Segmentation

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; IMAGE SEGMENTATION;

DYNAMIC SCENES; MULTIPLE PEOPLE; NONSTATIONARY; OUTDOOR SCENES; PERSON DETECTION; POSE ESTIMATION; SEGMENTATION MODELS; STEREOSCOPIC VIDEO;

PIXELS;

EID: 84898824355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.263     Document Type: Conference Paper

References (42)

1. http://pascallin.ecs.soton.ac.uk/challenges/voc/voc2011, 2011.
2. http://vision.middlebury.edu/stereo/, 2013.
3. http://www.di.ens.fr/willow/research/stereoseg, 2013.
4. P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. Contour detection and hierarchical image segmentation. PAMI, 2011.
5. A. Ayvaci, M. Raptis, and S. Soatto. Sparse occlusion detection with optical flow. IJCV, 97(3), 2012.
6. E. Boros and P. L. Hammer. Pseudo-boolean optimization. Discrete Applied Mathematics, 2002.
7. Y. Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In ICCV, 2001.
8. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. PAMI, 23(11):1222-1239, 2001.
9. I. Budvytis, V. Badrinarayanan, and R. Cipolla. Semi-supervised video segmentation. In CVPR, 2011.
10. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
11. C. Desai and D. Ramanan. Detecting actions, poses, and objects with relational phraselets. In ECCV, 2012.
12. M. Eichner, M. Marin-Jimenez, A. Zisserman, and V. Ferrari. 2d articulated human pose estimation and retrieval in (almost) unconstrained still images. IJCV, 2012.
13. M. Everingham, J. Sivic, and A. Zisserman. "Hello! My name is... Buffy"-automatic naming of characters in TV video. In BMVC, 2006.
14. P. F. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 32(9), 2010.
15. K. Fragkiadaki, H. Hu, and J. Shi. Pose from flow and flow from pose. In CVPR, 2013.
16. D. Goldman, C. Gonterman, B. Curless, D. Salesin, and S. Seitz. Video annotation, navigation, and composition. In UIST, 2008.
17. V. Gulshan, V. Lempitsky, and A. Zisserman. Humanising grabcut: Learning to segment humans using the kinect. In IEEE Workshop on Consumer Depth Cameras for Computer Vision, ICCV, 2011.
18. S. Johnson and M. Everingham. Learning effective human pose estimation from inaccurate annotation. In CVPR, 2011.
19. C. Keller, M. Enzweiler, M. Rohrbach, D. Llorca, C. Schnorr, and D. Gavrila. The benefits of dense stereo for pedestrian detection. IEEE Trans. Intelligent Transportation Systems, 2011.
20. P. Kohli, J. Rihan, M. Bray, and P. Torr. Simultaneous segmentation and pose estimation of humans using dynamic graph cuts. IJCV, 2008.
21. V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother. Bi-layer segmentation of binocular stereo video. In CVPR, 2005.
22. S. Koppal, C. Zitnick, M. Cohen, S. Kang, B. Ressler, and A. Colburn. A viewer-centric editor for 3d movies. Computer Graphics and Applications, 2011.
23. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Learning layered motion segmentations of video. In ICCV, 2005.
24. L. Ladicky, P. H. S. Torr, and A. Zisserman. Human pose estimation using a joint pixel-wise and part-wise formulation. In CVPR, 2013.
25. C. Liu. Beyond Pixels: Exploring New Representations and Applications for Motion Analysis. PhD thesis, MIT, 2009.
26. J. C. Niebles, B. Han, and L. Fei-Fei. Efficient extraction of human motion volumes by tracking. In CVPR, 2010.
27. X. Ren, L. Bo, and D. Fox. Rgb-(d) scene labeling: Features and algorithms. In CVPR, 2012.
28. B. Sapp, D. Weiss, and B. Taskar. Parsing human motion with stretchable models. In CVPR, 2011.
29. K. Schindler, A. Ess, B. Leibe, and L. Van Gool. Automatic detection and tracking of pedestrians from a moving stereo rig. ISPRS Journal of Photogrammetry and Remote Sensing, 65(6):523-537, 2010.
30. G. Sheasby, J. Valentin, N. Crook, and P. H. S. Torr. A robust stereo prior for human segmentation. In ACCV, 2012.
31. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In CVPR, 2011.
32. L. Spinello and K. O. Arras. People detection in rgb-d data. In IROS, 2011.
33. D. Sun, E. Sudderth, and M. Black. Layered image motion with explicit occlusions, temporal consistency, and depth ordering. In NIPS, 2010.
34. P. H. S. Torr, R. Szeliski, and P. Anandan. An integrated bayesian approach to layer extraction from image sequences. PAMI, 2001.
35. S. Walk, K. Schindler, and B. Schiele. Disparity statistics for pedestrian detection: Combining appearance, motion and stereo. In ECCV, 2010.
36. H. Wang and D. Koller. Multi-level inference by relaxed dual decomposition for human pose segmentation. In CVPR, 2011.
37. J. Y. A. Wang and E. H. Adelson. Representing moving images with layers. IEEE Trans. Image Processing, 3(5):625-638, 1994.
38. A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke, and D. Cremers. Efficient dense scene flow from sparse or dense stereo data. In ECCV, 2008.
39. J. Xiao and M. Shah. Motion layer extraction in the presence of occlusion using graph cuts. PAMI, 2005.
40. Y. Yang, S. Hallman, D. Ramanan, and C. Fowlkes. Layered object models for image segmentation. PAMI, 2011.
41. Y. Yang and D. Ramanan. Articulated pose estimation using flexible mixtures of parts. In CVPR, 2011.
42. B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010.