Monocular image 3D human pose estimation under self-occlusion

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 1888-1895

  Radwan, Ibrahim ^a   Dhall, Abhinav ^b   Goecke, Roland ^a,b  

^a UNIVERSITY OF CANBERRA   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

3D pose reconstruction; pose estimation; self occlusion

Indexed keywords

MOTION ESTIMATION;

3D HUMAN POSE ESTIMATION; 3D POSE RECONSTRUCTION; AUTOMATIC APPROACHES; CLUTTERED BACKGROUNDS; ORIENTATION CONSTRAINT; POSE ESTIMATION; QUANTITATIVE EXPERIMENTS; SELF OCCLUSION;

THREE DIMENSIONAL;

EID: 84898826788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.237     Document Type: Conference Paper

References (21)

1. A. Agarwal and B. Triggs. 3D Human Pose from Silhouettes by Relevance Vector Regression. In CVPR 2004, pages II-882-II-888, 2004.
2. A. Agarwal and B. Triggs. Learning to track 3D human motion from silhouettes. In ICML '04. ACM, 2004.
3. A. Agarwal and B. Triggs. Recovering 3D Human Pose from Monocular Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(1):44-58, 2006.
4. M. Andriluka, S. Roth, and B. Schiele. Monocular 3D Pose Estimation and Tracking by Detection. In CVPR 2010, pages 623-630, 2010.
5. L. Bo and C. Sminchisescu. Twin Gaussian Processes for Structured Prediction. IJCV, 87(1-2):28-52, 2010.
6. L. Bo, C. Sminchisescu, A. Kanaujia, and D. N. Metaxas. Fast Algorithms for Large Scale Conditional 3D Prediction. In CVPR 2008, 2008.
7. C. A. Bouman. CLUSTER: an unsupervised algorithm for modeling Gaussian mixtures, 2005.
8. C. Bregler, A. Hertzmann, and H. Biermann. Recovering Non-Rigid 3D Shape from Image Streams. In CVPR 2000, pages 690-696, 2000.
9. B. Daubney and X. Xie. Tracking 3D Human Pose with Large Root Node Uncertainty. In CVPR 2011, pages 1321-1328, 2011.
10. P. Dolĺar, P. Welinder, and P. Perona. Cascaded pose regression. In CVPR 2010, pages 1078-1085, 2010.
11. I. Radwan, A. Dhall, J. Joshi, and R. Goecke. Regression Based Pose Estimation with Automatic Occlusion Detection and Rectification. In ICME 2012, pages 121-127, 2012.
12. D. Ramanan. Learning to Parse Images of Articulated Bodies. In NIPS, 2006.
13. L. Sigal, A. Balan, and M. Black. HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion. IJCV, 87(1-2):4-27, 2010.
14. L. Sigal and M. J. Black. Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation, booktitle = CVPR 2006, pages = 2041-2048, year = 2006.
15. E. Simo-Serra, A. Ramisa, G. Alenỳa, C. Torras, and F. Moreno-Noguer. Single Image 3D Human Pose Estimation from Noisy Observations. In CVPR 2012, pages 2673-2680, 2012.
16. C. J. Taylor. Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image. In CVPR 2000, pages 677-684, 2000.
17. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: A factorization method. IJCV, 9(2):137-154, 1992.
18. J. Valmadre and S. Lucey. Deterministic 3D Human Pose Estimation Using Rigid Structure. In ECCV 2010, pages 467-480, 2010.
19. X. K.Wei and J. Chai. Modeling 3D Human Poses from Uncalibrated Monocular Images. In ICCV 2009, pages 1873-1880, 2009.
20. Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR 2011, pages 1385-1392, 2011.
21. Y. Yang and D. Ramanan. Articulated Human Detection with Flexible Mixtures-of-Parts. IEEE Transactions on PAMI, PP(99), 2012.