C. Sminchisescu and B. , Triggs: Building Roadmaps of Local Minima of Visual Models, European Conference on Computer Vision, 2002.

C. Sminchisescu and B. , Triggs: Hyperdynamics Importance Sampling, European Conference on Computer Vision, 2002.
DOI : 10.1007/3-540-47969-4_51

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.9499

C. Sminchisescu and B. , Triggs: Estimating Articulated Human Motion with Covariance Scaled Sampling, International Journal of Robotics Research, 2002.

C. Sminchisescu, Consistency and coupling in human model likelihoods, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, 2002.
DOI : 10.1109/AFGR.2002.1004125

URL : https://hal.archives-ouvertes.fr/inria-00590164

C. Sminchisescu and A. , Telea: Human Pose Estimation from Silhouettes. A Consistent Approach Using Distance Level Sets, 2002.

C. Sminchisescu and B. , Triggs: Covariance-Scaled Sampling for Monocular 3D Body Tracking, IEEE International Conference on Computer Vision and Pattern Recognition, 2001.

C. Sminchisescu, D. Metaxas, and S. Dickinson, Improving the scope of deformable model shape and motion estimation, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990514

URL : https://hal.archives-ouvertes.fr/inria-00590157

C. Sminchisescu and A. , Telea: A Framework for Generic State Estimation in Computer Vision Applications, 2001.

C. Sminchisescu and B. , Triggs: A Robust Multiple Hypothesis Approach to Monocular Human Motion Estimation, INRIA Research Report, issue.4208, 2001.

C. Sminchisescu, D. Metaxas, and S. Dickinson, Incremental Model-Based Estimation Using Geometric Consistency Constraints, INRIA-Research Report, issue.4209, 2001.
URL : https://hal.archives-ouvertes.fr/inria-00072413

Y. Abashkin and N. Russo, Transition state structures and reaction profiles from constrained optimization procedure. Implementation in the framework of density functional theory, The Journal of Chemical Physics, vol.100, issue.6, 1994.
DOI : 10.1063/1.466278

Y. Abashkin, N. Russo, and M. Toscano, Transition states and energy barriers from density functional studies: Representative isomerization reactions, International Journal of Quantum Chemistry, vol.71, issue.4, 1994.
DOI : 10.1002/qua.560520403

J. Aggarwal and Q. Cai, Human Motion Analysis: A Review, Computer Vision and Image Understanding, vol.73, issue.3, pp.428-440, 1999.
DOI : 10.1006/cviu.1998.0744

N. Anderson and G. R. Walsh, A graphical method for a class of Branin trajectories, Journal of Optimization Theory and Applications, vol.25, issue.3, 1986.
DOI : 10.1007/BF00941067

M. Armstrong and A. Zisserman, Robust Object Tracking, Asian Conference on Computer Vision, 1995.

A. Azarbayejani and A. Pentland, Recursive estimation of motion, structure, and focal length, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.6, 1995.
DOI : 10.1109/34.387503

G. T. Barkema, Event-Based Relaxation of Continuous Disordered Systems, Physical Review Letters, vol.77, issue.21, 1996.
DOI : 10.1103/PhysRevLett.77.4358

A. Barr, Global and local deformations of solid primitives, ACM SIGGRAPH Computer Graphics, vol.18, issue.3, pp.21-30, 1984.
DOI : 10.1145/964965.808573

C. Barron and I. Kakadiaris, Estimating anthropometry and pose from a single image, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.669-676, 2000.
DOI : 10.1109/CVPR.2000.855884

M. Bertero, T. Poggio, and V. Torre, Ill-posed problems in early vision, Proc. of IEEE, 1988.
DOI : 10.1109/5.5962

M. Black, Robust Incremental Optical Flow, 1982.

M. Black and P. Anandan, The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields, Computer Vision and Image Understanding, vol.63, issue.1, pp.57-92, 1996.
DOI : 10.1006/cviu.1996.0006

M. Black and A. Rangarajan, On the unification of line processes, outlier rejection, and robust statistics with applications in early vision, International Journal of Computer Vision, vol.8, issue.4, pp.57-92, 1996.
DOI : 10.1007/BF00131148

A. Blake and M. Isard, Active Contours, 2000.
DOI : 10.1007/978-1-4471-1555-7

A. Blake, B. North, and M. Isard, Learning Multi-Class Dynamics, ANIPS, vol.11, pp.389-395, 1999.

A. Blake and A. Zisserman, Visual Reconstruction, 1987.

J. M. Bofill, Updated Hessian matrix and the restricted step method for locating transition structures, Journal of Computational Chemistry, vol.106, issue.1, pp.1-11, 1994.
DOI : 10.1002/jcc.540150102

F. Branin and S. Hoo, A Method for Finding Multiple Extrema of a Function of n Variables, Numerical Methods of Nonlinear Optimization, 1972.

C. Bregler and J. Malik, Tracking people with twists and exponential maps, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), 1998.
DOI : 10.1109/CVPR.1998.698581

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.8159

R. Carceroni and K. Kutulakos, Multi-view scene capture by surfel sampling: from video streams to non-rigid 3D motion, shape and reflectance, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937603

C. J. Cerjan and W. H. Miller, On finding transition states, The Journal of Chemical Physics, vol.75, issue.6, 1981.
DOI : 10.1063/1.442352

T. Cham and J. Rehg, A Multiple Hypothesis Approach to Figure Tracking, IEEE International Conference on Computer Vision and Pattern Recognition, pp.239-245, 1999.

A. Chiusso, R. Brockett, and S. Soatto, Optimal Structure from Motion: Local Ambiguities and Global Estimates, International Journal of Computer Vision, vol.39, issue.3, pp.195-228, 2000.
DOI : 10.1023/A:1026563712076

K. Choo and D. Fleet, People Tracking Using Hybrid Monte Carlo Filtering, IEEE International Conference on Computer Vision, 2001.

D. Comaniciu, V. Ramesh, and P. Meer, Real-time tracking of non-rigid objects using mean shift, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000.
DOI : 10.1109/CVPR.2000.854761

G. M. Crippen and H. A. Scheraga, Minimization of polypeptide energy, Archives of Biochemistry and Biophysics, vol.144, issue.2, pp.462-466, 1971.
DOI : 10.1016/0003-9861(71)90349-3

J. Crowley, P. Stelmaszyk, T. Skordas, and P. Pugget, Measurements and Integration of 3-D Structures by Tracking Edge Lines, International Journal of Computer Vision, 1992.

P. Culot, G. Dive, V. H. Nguyen, and J. M. Ghuysen, A quasi-Newton algorithm for first-order saddle-point location, Theoretica Chimica Acta, vol.84, issue.3-4, pp.189-205, 1992.
DOI : 10.1007/BF01113251

D. Decarlo and D. Metaxas, The integration of optical flow and deformable models with applications to human face shape and motion estimation, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996.
DOI : 10.1109/CVPR.1996.517079

D. Decarlo and D. Metaxas, Combining Information in Deformable Models Using Hard Constraints, IEEE International Conference on Computer Vision and Pattern Recognition, 1999.

Q. Delamarre and O. Faugeras, 3D articulated models and multi-view tracking with silhouettes, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790292

J. Deutscher, A. Blake, and I. Reid, Articulated body motion capture by annealed particle filtering, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000.
DOI : 10.1109/CVPR.2000.854758

J. Deutscher, A. Davidson, and I. Reid, Articulated Partitioning of High Dimensional Search Spacs associated with Articulated Body Motion Capture, IEEE International Conference on Computer Vision and Pattern Recognition, 2001.

J. Deutscher, B. North, B. Bascle, and A. Blake, Tracking through singularities and discontinuities by random sampling, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1144-1149, 1999.
DOI : 10.1109/ICCV.1999.790409

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.8715

S. Dickinson and D. Metaxas, Integrating qualitative and quantitative shape recovery, International Journal of Computer Vision, vol.36, issue.6, 1994.
DOI : 10.1007/BF02028351

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.632

S. Dickinson, A. Pentland, and A. Rosenfeld, 3-D shape recovery using distributed aspect matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, 1992.
DOI : 10.1109/34.121788

D. Difranco, T. Cham, and J. Rehg, Reconstruction of 3-d figure motion from 2-d correspondences, IEEE International Conference on Computer Vision and Pattern Recognition, 2001.

T. Drummond and R. Cipolla, Real-Time Tracking of Multiple Articulated Structures in Multiple Views, European Conference on Computer Vision, 2000.
DOI : 10.1007/3-540-45053-X_2

T. Drummond and R. Cipolla, Real-time tracking of highly articulated structures in the presence of noisy measurements, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937642

S. Duane, A. D. Kennedy, B. J. Pendleton, and D. Roweth, Hybrid Monte Carlo, Physics Letters B, vol.195, issue.2, pp.216-222, 1987.
DOI : 10.1016/0370-2693(87)91197-X

A. Efros and T. Leung, Texture synthesis by non-parametric sampling, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790383

I. Fiodorova, Search for the Global Optimum of Multiextremal Problems. Optimal Decision Theory, 1978.

R. Fletcher, Practical Methods of Optimization, 1987.
DOI : 10.1002/9781118723203

D. Forsyth, J. Haddon, and S. Ioffe, The Joy of Sampling, International Journal of Computer Vision, vol.41, issue.1/2, pp.109-134, 2001.
DOI : 10.1023/A:1011165200654

P. Fua and G. Leclerc, Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3-D Surfaces, Computer Vision and Image Understanding, vol.64, issue.1, 1996.
DOI : 10.1006/cviu.1996.0048

D. Gavrila, The Visual Analysis of Human Movement: A Survey, Computer Vision and Image Understanding, vol.73, issue.1, pp.82-98, 1999.
DOI : 10.1006/cviu.1998.0716

D. Gavrila and L. Davis, 3-D Model Based Tracking of Humans in Action:A Multiview Approach, IEEE International Conference on Computer Vision and Pattern Recognition, pp.73-80, 1996.

R. Ge, The theory of the Filled Function Method for Finding a Global Minimizer of a Nonlinearly Constrained Minimization Problem, J. of Comp. Math, 1987.

D. Geiger, A. Gupta, L. Costa, and J. Vlontzos, Dynamic programming for detecting, tracking, and matching deformable contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.3, 1995.
DOI : 10.1109/34.368194

D. Geman and S. Geman, Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984.

A. Goldstein and J. Price, On descent from local minima, Mathematics of Computation, vol.25, issue.115, 1971.
DOI : 10.1090/S0025-5718-1971-0312365-X

L. Gonglaves, E. Bernardo, E. Ursella, and P. Perona, Monocular tracking of the human arm in 3D, Proceedings of IEEE International Conference on Computer Vision, pp.764-770, 1995.
DOI : 10.1109/ICCV.1995.466861

N. Gordon and D. Salmond, Bayesian State Estimation for Tracking and Guidance Using the Bootstrap Filter, Journal of Guidance, Control and Dynamics, 1995.

N. Gordon, D. Salmond, and A. Smith, Novel Approach to Non-linear/Non-Gaussian State Estimation, IEE Proc. F, 1993.

A. Griewank, Generalized descent for global optimization, Journal of Optimization Theory and Applications, vol.16, issue.1, 1981.
DOI : 10.1007/BF00933356

. Group, Specifications for a Standard Humanoid Hanim-Humanoid Animation Working Group, http://www.h-anim.org/Specifications/H-Anim1, 2002.

G. Hager and P. Belhumeur, Efficient region tracking with parametric models of geometry and illumination, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.10, 1998.
DOI : 10.1109/34.722606

I. Haritaoglu, D. Harwood, and L. Davis, W4: Who, When, Where, What: A Real Time System for Detecting and Tracking People, FGR, 1998.

R. Hartley, Lines and Points in Three Views and the Trifocal Tensor, International Journal of Computer Vision, 1997.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2000.
DOI : 10.1017/CBO9780511811685

T. Heap and D. Hogg, Wormholes in shape space: tracking through discontinuous changes in shape, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.334-349, 1998.
DOI : 10.1109/ICCV.1998.710741

T. Helgaker, Transition-state optimizations by trust-region image minimization, Chemical Physics Letters, vol.182, issue.5, 1991.
DOI : 10.1016/0009-2614(91)90115-P

G. Henkelman and H. Jonsson, A dimer method for finding saddle points on high dimensional potential surfaces using only first derivatives, The Journal of Chemical Physics, vol.111, issue.15, pp.7011-7022, 1999.
DOI : 10.1063/1.480097

R. L. Hilderbrandt, Application of Newton-Raphson optimization techniques in molecular mechanics calculations, Computers & Chemistry, vol.1, issue.3, pp.179-186, 1977.
DOI : 10.1016/0097-8485(77)85008-0

K. B. Horn, Relative orientation, International Journal of Computer Vision, vol.16, issue.2, 1990.
DOI : 10.1007/BF00137443

M. Howe, W. Leventon, and . Freeman, Bayesian Reconstruction of 3D Human Motion from Single-Camera Video, Neural Information Processing Systems, 1999.

T. S. Huang and A. N. Netravali, Motion and Structure from Feature Correspondences: A Review, Proc. of the IEEE, 1994.

S. Ioffe and D. Forsyth, Human tracking with mixtures of trees, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.690-695, 2001.
DOI : 10.1109/ICCV.2001.937589

M. Isard and A. Blake, CONDENSATION ? Conditional Density Propagation for Visual Tracking, International Journal of Computer Vision, 1998.

M. Isard and J. Maccormick, BraMBLe: a Bayesian multiple-blob tracker, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937594

F. Jensen, Lennard???Jones potential, The Journal of Chemical Physics, vol.102, issue.17, pp.6706-6718, 1995.
DOI : 10.1063/1.469144

P. Jorgensen, H. J. Jensen, and T. Helgaker, A gradient extremal walking algorithm, Theoretica Chimica Acta, vol.29, issue.1, pp.55-65, 1988.
DOI : 10.1007/BF00526650

S. Ju, M. Black, and Y. Yacoob, Cardboard people: a parameterized model of articulated image motion, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, pp.38-44, 1996.
DOI : 10.1109/AFGR.1996.557241

I. Kakadiaris and D. Metaxas, 3D human body model acquisition from multiple views, Proceedings of IEEE International Conference on Computer Vision, pp.618-623, 1995.
DOI : 10.1109/ICCV.1995.466881

I. Kakadiaris and D. Metaxas, Model-Based Estimation of 3D Human Motion with Occlusion Prediction Based on Active Multi-Viewpoint Selection, IEEE International Conference on Computer Vision and Pattern Recognition, pp.81-87, 1996.

K. Kanantani, Statistical Optimization for Geometric Computation: Theory and Practice, 1996.

M. Kass, A. Witkin, and D. Terzopoulos, Snakes:Active Contour Models, International Journal of Computer Vision, 1988.

O. King and D. Forsyth, How Does CONDENSATION Behave with a Finite Number of Samples?, European Conference on Computer Vision, pp.695-709, 2000.
DOI : 10.1007/3-540-45054-8_45

H. J. Lee and Z. Chen, Determination of 3D human body postures from a single view, Computer Vision, Graphics, and Image Processing, vol.30, issue.2, pp.148-168, 1985.
DOI : 10.1016/0734-189X(85)90094-5

M. Leventon and W. Freeman, Bayesian Estimation of 3-d Human Motion from an Image Sequence, 1998.

A. Levy and A. Montalvo, The Tunneling Algorithm for the Global Minimization of Functions, SIAM Journal on Scientific and Statistical Computing, vol.6, issue.1, 1985.
DOI : 10.1137/0906002

D. Liebowitz and S. Carlson, Uncalibrated motion capture exploiting articulated structure constraints, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937629

J. Liu, Metropolized independent sampling with comparisons to rejection sampling and importance sampling, Statistics and Computing, vol.82, issue.2, 1996.
DOI : 10.1007/BF00162521

T. L. Liu and D. Geiger, Visual Deconstruction: Reconstructing Articulated Objects, Ve n i c e Workshop, 1998.

D. Lowe, Three-dimensional object recognition from single two-dimensional images, Artificial Intelligence, vol.31, issue.3, 1987.
DOI : 10.1016/0004-3702(87)90070-1

D. Lowe, Fitting parameterized three-dimensional models to images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.5, 1991.
DOI : 10.1109/34.134043

J. Maccormick and A. Blake, A probabilistic contour discriminant for object localisation, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998.
DOI : 10.1109/ICCV.1998.710748

J. Maccormick and M. Isard, Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracker, European Conference on Computer Vision, pp.3-19, 2000.

D. P. Mcreynolds and D. Lowe, Rigidity Checking of 3D point Correspondences under Perspective Projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997.

R. Merwe, A. Doucet, N. Freitas, and E. Wan, The Unscented Particle Filter, 2000.

N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.
DOI : 10.1063/1.1699114

A. Mitiche and J. Aggarwal, Line-based Computation of Structure and Motion using Angular Invariance, IEEE Workshop on Motion, 1986.

T. Moeslund and E. Granum, A Survey of Computer Vision-Based Human Motion Capture, Computer Vision and Image Understanding, vol.81, issue.3, pp.231-268, 2001.
DOI : 10.1006/cviu.2000.0897

D. Morris and J. Rehg, Singularity analysis for articulated object tracking, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.289-296, 1998.
DOI : 10.1109/CVPR.1998.698622

N. Mousseau and G. T. Berkema, Traveling Through Potential Energy Lanscapes of Desordered Materials: The Activation-Relaxation Technique, Physical Review E, vol.57, issue.2, 1998.

D. Mumford, Elastica and Computer Vision, Algebraic Geometry and its Applications, 1994.
DOI : 10.1007/978-1-4612-2628-4_31

D. Mumford, Pattern Theory: A Unifying Perspective, Perception as Bayesian Inference, 1996.

L. J. Munro and D. J. Wales, Defect migration in crystalline silicon, Physical Review B, vol.59, issue.6, pp.3969-3980, 1999.
DOI : 10.1103/PhysRevB.59.3969

R. Neal, Probabilistic Inference Using Markov Chain Monte Carlo, 1993.

R. Neal, Annealed Importance Sampling, 1998.

R. Neal, Annealed Importance Sampling, Statistics and Computing, vol.11, issue.2, pp.125-139, 2001.
DOI : 10.1023/A:1008923215028

J. Nichols, H. Taylor, P. Schmidt, and J. Simons, Walking on potential energy surfaces, The Journal of Chemical Physics, vol.92, issue.1, 1990.
DOI : 10.1063/1.458435

B. North and A. Blake, Learning Dynamical Models by Expectation Maximization, IEEE International Conference on Computer Vision, 1998.
DOI : 10.1109/iccv.1998.710747

J. Oliensis, The Error Surface for Structure from Motion, 2001.

C. Papageorgiu and T. Poggio, Trainable pedestrian detection, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999.
DOI : 10.1109/ICIP.1999.819462

V. Pavlovic, J. Rehg, T. Cham, and K. Murphy, A Dynamic Bayesian Approach to Figure Tracking using Learned Dynamical Models, IEEE International Conference on Computer Vision, 2001.

A. Pentland and B. Horowitz, Recovery of Non-rigid Motion and Structure, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991.

A. Pentland and S. Sclaroff, Closed-form solutions for physically based shape modeling and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.7, 1991.
DOI : 10.1109/34.85660

P. Perez, A. Blake, and M. Gangnet, JetStream:Probabilistic Contour Extraction with Particles, IEEE International Conference on Computer Vision, 2001.
DOI : 10.1109/iccv.2001.937670

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.8029

M. Pitt and N. Shephard, Filtering via Simulation: Auxiliary Particle Filters, Journal of the American Statistical Association, vol.24, issue.446, 1997.
DOI : 10.1016/0005-1098(71)90097-5

URL : http://www.tandfonline.com/doi/pdf/10.1080/07350015.2015.1052457

R. Plankers, Human Body Modeling from Video Sequences, 2001.
DOI : 10.1109/people.1999.798345

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.9865

R. Plankers and P. Fua, Articulated soft objects for video-based body modeling, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.394-401, 2001.
DOI : 10.1109/ICCV.2001.937545

J. Rehg and T. Kanade, Model-based tracking of self-occluding articulated objects, Proceedings of IEEE International Conference on Computer Vision, pp.612-617, 1995.
DOI : 10.1109/ICCV.1995.466882

K. Rohr, Towards Model-Based Recognition of Human Movements in Image Sequences, Computer Vision and Image Understanding, vol.59, issue.1, pp.94-115, 1994.
DOI : 10.1006/cviu.1994.1006

R. Ronfard, C. Schmid, and B. Triggs, Learning to Parse Pictures of People, European Conference on Computer Vision, 2002.
DOI : 10.1007/3-540-47979-1_47

URL : https://hal.archives-ouvertes.fr/inria-00545109

R. Rosales and S. Sclaroff, Inferring body pose without tracking body parts, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.721-727, 2000.
DOI : 10.1109/CVPR.2000.854946

D. Samaras and D. Metaxas, Incorporating illumination constraints in deformable models, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), 1998.
DOI : 10.1109/CVPR.1998.698626

S. Seitz, Implicit representation and scene reconstruction from probability density functions, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 1998.
DOI : 10.1109/CVPR.1999.784604

E. M. Sevick, A. T. Bell, and D. N. Theodorou, A Chain of States Method for Investigating Infrequent Event Processes Occuring in Multistate, Multidimensional Systems, J. Chem. Phys, vol.9, issue.4, p.8, 1993.

A. Shashua, Algebraic functions for recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.8, 1995.
DOI : 10.1109/34.400567

H. Sidenbladh and M. Black, Learning image statistics for Bayesian tracking, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937696

H. Sidenbladh, M. Black, and D. Fleet, Stochastic Tracking of 3D Human Figures Using 2D Image Motion, European Conference on Computer Vision, 2000.
DOI : 10.1007/3-540-45053-X_45

H. Sidenbladh, M. Black, and L. Sigal, Implicit Probabilistic Models of Human Motion for Synthesis and Tracking, European Conference on Computer Vision, 2002.
DOI : 10.1007/3-540-47969-4_52

J. Simons, P. Jorgensen, H. Taylor, and J. Ozmen, Walking on potential energy surfaces, The Journal of Physical Chemistry, vol.87, issue.15, pp.2745-2753, 1983.
DOI : 10.1021/j100238a013

C. Sminchisescu, Consistency and coupling in human model likelihoods, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, pp.27-32, 2002.
DOI : 10.1109/AFGR.2002.1004125

URL : https://hal.archives-ouvertes.fr/inria-00590164

C. Sminchisescu, D. Metaxas, and S. Dickinson, Improving the scope of deformable model shape and motion estimation, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.485-492, 2001.
DOI : 10.1109/CVPR.2001.990514

URL : https://hal.archives-ouvertes.fr/inria-00590157

C. Sminchisescu, D. Metaxas, and S. Dickinson, Incremental Model-Based Estimation Using Geometric Consistency Constraints, 2001.
DOI : 10.1109/tpami.2005.104

URL : https://hal.archives-ouvertes.fr/inria-00072413

C. Sminchisescu and A. Telea, A Framework for Generic State Estimation in Computer Vision Applications, International Conference for Computer Vision, ICVS International Workshop on Computer Vision Systems, pp.21-34, 2001.
DOI : 10.1007/3-540-48222-9_2

URL : https://hal.archives-ouvertes.fr/inria-00590158

C. Sminchisescu and A. Telea, Human Pose Estimation from Silhouettes. A Consistent Approach Using Distance Level Sets, WSCG International Conference for Computer Graphics, Visualization and Computer Vision, Czech Republic, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00590165

C. Sminchisescu and B. Triggs, A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking, 2001.
URL : https://hal.archives-ouvertes.fr/inria-00072414

C. Sminchisescu and B. Triggs, Covariance scaled sampling for monocular 3D body tracking, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.447-454, 2001.
DOI : 10.1109/CVPR.2001.990509

URL : https://hal.archives-ouvertes.fr/inria-00548273

C. Sminchisescu and B. Triggs, Building Roadmaps of Local Minima of Visual Models, European Conference on Computer Vision, pp.566-582, 2002.
DOI : 10.1007/3-540-47969-4_38

URL : https://hal.archives-ouvertes.fr/inria-00548248

C. Sminchisescu and B. Triggs, Hyperdynamics Importance Sampling, European Conference on Computer Vision, pp.769-783, 2002.
DOI : 10.1007/3-540-47969-4_51

URL : https://hal.archives-ouvertes.fr/inria-00548249

M. R. Sorensen and A. F. Voter, Temperature-accelerated dynamics for simulation of infrequent events, The Journal of Chemical Physics, vol.112, issue.21, pp.9599-9606, 2000.
DOI : 10.1063/1.481576

M. Spestakis and J. Aloimonos, A Multi-frame Approach to Visual Motion Perception, International Journal of Computer Vision, 1991.

J. Sullivan, A. Blake, M. Isard, and J. Maccormick, Object localization by Bayesian correlation, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790391

J. Q. Sun and K. Ruedenberg, Gradient Extremals and Stepest Descend Lines on Potential Energy Surfaces, J. Chem. Phys, vol.98, issue.12, 1993.
DOI : 10.1063/1.464349

R. Szeliski and S. B. Kang, Recovery 3-D Shape and Motion from Image Streams using Non-linear Least-squares, 1994.

C. Taylor and D. Kriegman, Structure and Motion from Line Segments in Multiple Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996.

C. J. Taylor, Reconstruction of articulated objects from point correspondences in a single uncalibrated image, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.677-684, 2000.
DOI : 10.1109/CVPR.2000.855885

D. Terzopoulos and D. Metaxas, Dynamic 3D models with Local and Global deformations: Deformable Superquadrics, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991.

D. Terzopoulos, A. Witkin, and M. Kass, Constraints on Deformable Models: Recovering 3-D Shape and Non-rigid Motion, A.I, vol.36, issue.1, 1988.

A. Törn, M. Ali, and S. Viitanen, Stochastic Global Optimization: Problem Classes and Solution Techniques, Journal of Global Optimization, vol.14, 1999.

K. Toyama and A. Blake, Probabilistic tracking in a metric space, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937599

B. Triggs, P. Mclauchlan, R. Hartley, and A. Fitzgibbon, Bundle Adjustment ??? A Modern Synthesis, Vision Algorithms: Theory and Practice, 2000.
DOI : 10.1007/3-540-44480-7_21

URL : https://hal.archives-ouvertes.fr/inria-00548290

D. Vanderbilt and S. G. Louie, A Monte carlo simulated annealing approach to optimization over continuous variables, Journal of Computational Physics, vol.56, issue.2, p.56, 1984.
DOI : 10.1016/0021-9991(84)90095-0

T. Vieville and O. Faugeras, Feed-forward recovery of motion and structure from a sequence of 2D-lines matches, [1990] Proceedings Third International Conference on Computer Vision, 1990.
DOI : 10.1109/ICCV.1990.139585

G. H. Vineyard, Frequency factors and isotope effects in solid state rate processes, Journal of Physics and Chemistry of Solids, vol.3, issue.1-2, pp.121-127, 1957.
DOI : 10.1016/0022-3697(57)90059-8

A. F. Voter, A method for accelerating the molecular dynamics simulation of infrequent events, The Journal of Chemical Physics, vol.106, issue.11, pp.4665-4677, 1997.
DOI : 10.1063/1.473503

A. F. Voter, Hyperdynamics: Accelerated Molecular Dynamics of Infrequent Events, Physical Review Letters, vol.78, issue.20, pp.3908-3911, 1997.
DOI : 10.1103/PhysRevLett.78.3908

S. Wachter and H. Nagel, Tracking of persons in monocular image sequences, Proceedings IEEE Nonrigid and Articulated Motion Workshop, pp.174-192, 1999.
DOI : 10.1109/NAMW.1997.609843

D. J. Wales, Finding saddle points for clusters, The Journal of Chemical Physics, vol.91, issue.11, 1989.
DOI : 10.1063/1.457316

D. J. Wales and T. R. Walsh, Theoretical study of the water pentamer, The Journal of Chemical Physics, vol.105, issue.16, 1996.
DOI : 10.1063/1.471987

L. Wei and M. Levoy, Fast texture synthesis using tree-structured vector quantization, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, 2000.
DOI : 10.1145/344779.345009

C. Wren and A. Pentland, DYNAMAN: A Recursive Model of Human Motion, 1998.

B. Yen and T. Huang, Determining 3-D Motion and Structure of a Rigid Body Using Straight line Correspondences, ASI NATO Series, 1983.

S. C. Zhu, Embedding Gestalt Laws in Markov Random Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.11, 1999.