Evaluating shape and appearance descriptors for 3D human pose estimation

Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Volumn , Issue , 2011, Pages 293-298

  Sedai, S ^a   Bennamoun, M ^a   Huynh, D Q ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

3D HUMAN POSE ESTIMATION; COMPARATIVE EVALUATIONS; DATA SETS; DESCRIPTORS; K-NEAREST NEIGHBORS; POSE ESTIMATION; REGRESSION METHOD; RELEVANCE VECTOR MACHINE; SHAPE CONTEXTS; SHAPE DESCRIPTORS; SPATIAL REGIONS;

DISCRETE COSINE TRANSFORMS; ESTIMATION; GRAPHIC METHODS; INDUSTRIAL ELECTRONICS; RATING; REGRESSION ANALYSIS;

THREE DIMENSIONAL;

EID: 80052245868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2011.5975597     Document Type: Conference Paper

References (25)

1. J. Deutscher, A. Blake, and I. Reid, "Articulated body motion capture by annealed particle filtering," IEEE Conference on CVPR, vol. 2, pp. 126-133 vol.2, 2000.
2. C. Sminchisescu and B. Triggs, "Estimating articulated human motion with covariance scaled sampling," International Journal of Robotics Research, 2003.
3. C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas, "Discriminative density propagation for 3d human motion estimation," in IEEE Computer Society Conference on CVPR, vol. 1, 2005, pp. 390-397.
4. A. Agarwal and B. Triggs, "Recovering 3D human pose from monocular images," IEEE Transactions on PAMI, vol. 28, no. 1, 2006.
5. G. Shakhnarovich, P. Viola, and T. Darrell, "Fast pose estimation with parameter-sensitive hashing," International Conference on Computer Vision, pp. 750-757 vol.2, 2003.
6. D. Zhang and G. Lu, "Review of shape representation and description techniques," Pattern Recognition, vol. 37, pp. 1-19, 2004.
7. K. Grauman, G. Shakhnarovich, and T. Darrell, "Inferring 3d structure with a statistical image-based shape model," International Conference on Computer Vision, pp. 641-647 vol.1, 2003.
8. A. Elgammal and C.-S. Lee, "Nonlinear manifold learning for dynamic shape and dynamic appearance," Comput. Vis. Image Underst., vol. 106, pp. 31-46, April 2007.
9. M. Brand, "Shadow puppetry," in International Conference on Computer Vision, vol. 2, 1999, p. 1237.
10. G. R. Bradski and J. W. Davis, "Motion segmentation and pose recognition with motion history gradients," Mach. Vision Appl., vol. 13, no. 3, pp. 174-184, 2002.
11. R. Rosales and S. Sclaroff, "Learning body pose via specialized maps," NIPS, pp. 1263-1270, 2002.
12. E.-J. Ong, A. S. Micilotta, R. Bowden, and A. Hilton, "Viewpoint invariant exemplar-based 3d human tracking," Comput. Vis. Image Underst., vol. 104, no. 2, pp. 178-189, 2006.
13. J. Li and N. M. Allinson, "A comprehensive review of current local features for computer vision," Neurocomput., vol. 71, no. 10-12, pp. 1771-1787, 2008.
14. A. Agarwal and B. Triggs, "A local basis representation for estimating human pose from cluttered images," in Asian Conference on Computer Vision, no. 3851, 2006, pp. 50-59.
15. H. Ning, W. Xu, Y. Gong, and T. Huang, "Discriminative learning of visual words for 3D human pose estimation," in IEEE Conference CVPR, 2008, pp. 1-8.
16. S. Sedai, M. Bennamoun, and D. Huynh, "Context-based appearance descriptor for 3D human pose estimation from monocular images," in DICTA, 2009, pp. 484-491.
17. L. Bo, C. Sminchisescu, A. Kanaujia, and D. Metaxas, "Fast algorithms for large scale conditional 3d prediction," IEEE Conference on CVPR, pp. 1-8, 2008.
18. A. Kanaujia, C. Sminchisescu, and D. N. Metaxas, "Semi-supervised hierarchical models for 3d human pose reconstruction," in IEEE conference on CVPR, 2007.
19. A. Bissacco, M.-H. Yang, and S. Soatto, "Fast human pose estimation using appearance and motion via multi-dimensional boosting regression," IEEE Conference on CVPR, pp. 1-8, 2007.
20. S. Sedai, F. Flitti, M. Bennamoun, and D. Huynh, "3D human pose estimation from static images using local features and discriminative learning," in International Conference on Image Analysis and Recognition, 2009, pp. 327-336.
21. A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proceedings of the IEEE, vol. 90, no. 7, pp. 1151-1163, Jul 2002.
22. R. Poppe, "Evaluating example-based pose estimation: Experiments on the humaneva sets," in Workshop on EHuM at CVPR, 2007, pp. 1-8.
23. S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Trans on PAMI, vol. 24, no. 4, pp. 509-522, 2002.
24. M. E. Tipping and A. Faul, "Fast marginal likelihood maximisation for sparse Bayesian models," in Proceeding of the AISTATS, 2003, pp. 3-6.
25. L. Sigal, A. Balan, and M. Black, "Humaneva: synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion," International Journal of Computer Vision, vol. 87, pp. 4-27, 2010.