Data-free prior model for upper body pose estimation and tracking

IEEE Transactions on Image Processing

Volumn 22, Issue 12, 2013, Pages 4627-4639

  Chen, Jixu ^a   Nie, Siqi ^b   Ji, Qiang ^b  

^a GE GLOBAL RESEARCH   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Body pose estimation; body pose model; knowledge based model

Indexed keywords

3D MOTION CAPTURE; BODY POSE; BODY POSE ESTIMATION; KNOWLEDGE-BASED MODEL; MOTION CAPTURE DATA; PHYSICAL CONSTRAINTS; PRIOR MODELING; VIDEO SEQUENCES;

BENCHMARKING; KNOWLEDGE BASED SYSTEMS;

GESTURE RECOGNITION;

ARTICLE; BIOLOGICAL MODEL; BIOMECHANICS; BODY POSTURE; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; METHODOLOGY; PHYSIOLOGY; VIDEORECORDING;

BIOMECHANICAL PHENOMENA; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; POSTURE; VIDEO RECORDING;

EID: 84884856210     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2274748     Document Type: Article

References (46)

1. G. Taylor, L. Sigal, D. Fleet, and G. Hinton, "Dynamical binary latent variable models for 3D human pose tracking," in Proc. IEEE CVPR, Jun. 2010, pp. 631-638.
2. R. Li, T.-P. Tian, S. Sclaroff, and M.-H. Yang, "3D human motion tracking with a coordinated mixture of factor analyzers," Int. J. Comput. Vis., vol. 87, nos. 1-2, pp. 170-190, Mar. 2010.
3. R. Urtasun and T. Darrell, "Sparse probabilistic regression from activityindependent human pose inference," in Proc. IEEE CVPR, Jun. 2008, pp. 1-8.
4. C. Ionescu, F. Li, and C. Sminchisescu, "Latent structured models for human pose estimation," in Proc. IEEE ICCV, Nov. 2011, pp. 2220-2227.
5. A. Agarwal and B. Triggs, "Recovering 3D human pose from monocular images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 1, pp. 44-58, Jan. 2006. (Pubitemid 46395303)
6. T. Brox, B. Rosenhahn, D. Cremers, and H.-P. Seidel, "Nonparametric density estimation with adaptive, anisotropic kernels for human motion tracking," in Proc. 2nd Conf. Human Motion, Understand., Model., Capture Anim., Oct. 2007, pp. 152-165.
7. G. Shakhnarovich, P. Viola, and T. Darrell, "Fast pose estimation with parameter-sensitive hashing," in Proc. 9th IEEE Int. CVPR, vol. 2. Oct. 2003, pp. 750-757.
8. R. Urtasun, D. J. Fleet, and P. Fua, "Monocular 3D tracking of the golf swing," in Proc. IEEE Comput. Soc. Conf. CVPR, vol. 2. Jun. 2005, pp. 932-938.
9. H. Sidenbladh, M. J. Black, and D. J. Fleet, "Stochastic tracking of 3D human figures using 2D image motion," in Proc. ECCV, Jul. 2000, pp. 702-718.
10. A. Geiger, R. Urtasun, and T. Darrell, "Rank priors for continuous non-linear dimensionality reduction," in Proc. IEEE Conf. CVPR, 2009, pp. 1-2.
11. R. Urtasun, D. J. Fleet, A. Hertzmann, and P. Fua, "Priors for people tracking from small training sets," in Proc. 10th IEEE ICCV, vol. 1. Oct. 2005, pp. 403-410. (Pubitemid 44054986)
12. T.-P. Tian, R. Li, and S. Sclaroff, "Articulated pose estimation in a learned smooth space of feasible solutions," in Proc. IEEE Comput. Soc. Conf. CVPR Learn. Workshop, Jun. 2005, p. 50.
13. R. Urtasun, D. J. Fleet, and P. Fua, "3D people tracking with Gaussian process dynamical models," in Proc. IEEE Comput. Soc. Conf. CVPR, Jun. 2006, pp. 238-245. (Pubitemid 44931336)
14. R. Urtasun, D. J. Fleet, A. Geiger, J. Popovic, T. J. Darrell, and N. D. Lawrence, "Topologically-constrained latent variable models," in Proc. 25th ICML, 2008, pp. 1080-1087.
15. J. Chen, M. Kim, Y. Wang, and Q. Ji, "Switching Gaussian process dynamic models for simultaneous composite motion tracking and recognition," in Proc. IEEE Conf. CVPR, Jun. 2009, pp. 2655-2662.
16. D. Ramanan, D. A. Forsyth, and A. Zisserman, "Strike a pose: Tracking people by finding stylized poses," in Proc. IEEE Comput. Soc. Conf. CVPR, Jun. 2005, pp. 271-278.
17. P. F. Felzenszwalb and D. P. Huttenlocher, "Pictorial structures for object recognition," Int. J. Comput. Vis., vol. 61, no. 1, pp. 55-79, Jan. 2005.
18. L. Sigal, S. Bhatia, S. Roth, M. J. Black, and M. Isard, "Tracking loose-limbed people," in Proc. IEEE Comput. Soc. Conf. CVPR, vol. 1. Jul. 2004, pp. I-421-I-428.
19. X. Lan and D. P. Huttenlocher, "Beyond trees: Common factor models for 2D human pose recovery," in Proc. 10th IEEE ICCV, vol. 1. Oct. 2005, pp. 470-477. (Pubitemid 44054994)
20. Y. Wang and G. Mori, "Multiple tree models for occlusion and spatial constraints in human pose estimation," in Proc. 10th ECCV, 2008, pp. 710-724.
21. C. Sminchisescu and B. Triggs, "Covariance scaled sampling for monocular 3D body tracking," in Proc. CVPR, vol. 1. 2001, pp. I-447-I-454.
22. M. Vondrak, L. Sigal, and O. C. Jenkins, "Physical simulation for probabilistic motion tracking," in Proc. CVPR, 2008, pp. 1-8.
23. M. A. Brubaker, L. Sigal, and D. J. Fleet, "Physics-based human motion modelling for people tracking," in Proc. ICCV, Sep. 2009, pp. 1-48.
24. H. Kjellstrom, D. Kragic, and M. J. Black, "Tracking people interacting with objects," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 747-754.
25. D. Ramanan and D. A. Forsyth, "Finding and tracking people from the bottom up," in Proc. IEEE Comput. Soc. Conf. CVPR, Jun. 2003, pp. II-467-II-474.
26. Y. Wu, G. Hua, and T. Yu, "Tracking articulated body by dynamic Markov network," in Proc. 9th IEEE CVPR, vol. 2. Oct. 2003, pp. 1094-1101.
27. P. Noriega and O. Bernier, "Multicues 3D monocular upper body tracking using constrained belief propagation," in Proc. BMVC, 2007, pp. 1-10.
28. D. Demirdjian, "Enforcing constraints for human body tracking," in Proc. CVPRW, Jun. 2003, p. 102.
29. M. A. Brubaker and D. J. Fleet, "The kneed walker for human pose tracking," in Proc. IEEE Conf. CVPR, Jun. 2008, pp. 1-8.
30. C. R. Wren and A. P. Pentland, "Dynamic modeling of human motion," in Proc. 3rd IEEE Int. Conf. Autom. Face Gesture Recognit., Apr. 1998, pp. 22-27.
31. J. Bandouch and M. Beetz, "Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models," in Proc. 12th IEEE ICCV Workshop, Oct. 2009, pp. 2040-2047.
32. J. Bandouch, F. Engstler, and M. Beetz, "Accurate human motion capture using an ergonomics-based anthropometric human model," in Proc. 5th Int. Conf. AMDO, Jul. 2008, pp. 248-258.
33. L. Sigal, A. Balan, and M. Black, "HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion," Int. J. Comput. Vis., vol. 87, nos. 1-2, pp. 4-27, Mar. 2010.
34. NASA. (2010, Dec.). Nasa-Std-3000: Man-Systems Integration Standards, Washington, DC, USA [Online]. Available: http://msis.jsc.nasa.gov/sections/ section03.htm
35. A. Steindler, Kinesiology of the Human Body under Normal and Pathological Conditions. Springfield, IL, USA: Charles C Thomas, 1955.
36. W. Gao, S. Shan, X. Chai, and X. Fu, "Virtual face image generation for illumination and pose insensitive face recognition," in Proc. ICME, Jul. 2003, pp. 149-152.
37. A. Saxena, J. Driemeyer, and A. Y. Ng, "Robotic grasping of novel objects using vision," Int. J. Robot. Res., vol. 27, no. 2, pp. 157-173, Feb. 2008. (Pubitemid 351169712)
38. A. Witkin and M. Kass, "Spacetime constraints," Comput. Graph., vol. 22, no. 4, pp. 159-168, Aug. 1988.
39. D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, T. Dietterich, Ed. Cambridge, MA, USA: MIT Press, 2009.
40. G. Schwarz, "Estimating the dimension of a model," Ann. Stat., vol. 6, no. 2, pp. 461-464, 1978.
41. J. Pearl, Probabilistic Reasoning in Intelligent Systems. SanMateo, CA, USA: Morgan Kaufmann, 1988.
42. K. Murphy, "Dynamic bayesian networks: Representation, inference and learning," Ph.D. dissertation, Dept. Comput. Sci. Univ. California Berkeley, Berkeley, CA, USA, 2002.
43. (2010, Dec.). Carnegie Mellon University Motion Capture Database [Online]. Available: http://mocap.cs.cmu.edu/
44. G. Taylor, G. Hinton, and S. Roweis, "Modeling human motion using binary latent variables," in Proc. NIPS, 2007, pp. 1345-1352.
45. X. Xu and B. Li, "Learning motion correlation for tracking articulated human body with a rao-blackwellised particle filter," in Proc. ICCV, 2007.
46. R. Li, T.-P. Tian, and S. Sclaroff, "Simultaneous learning of nonlinear manifold and dynamical models for high-dimensional time series," in Proc. ICCV, 2007, pp. 1-8.