Techniques for binocular markerless visual tracking of 3D articulated bodies

[1]  Ian D. Reid,et al.  Articulated Body Motion Capture by Stochastic Search , 2005, International Journal of Computer Vision.

[2]  Rama Chellappa,et al.  Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues , 2006, ACCV.

[3]  James W. Davis,et al.  Virtual PAT: A Virtual Personal Aerobics Trainer , 1998 .

[4]  Roy Leipnik The Extended Entropy Uncertainty Principle , 1960, Inf. Control..

[5]  James M. Rehg,et al.  Singularity analysis for articulated object tracking , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[6]  Larry S. Davis,et al.  Non-parametric Model for Background Subtraction , 2000, ECCV.

[7]  Michael J. Black,et al.  A Quantitative Evaluation of Video-based 3D Person Tracking , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.

[8]  Hugues Talbot,et al.  Globally Optimal Geodesic Active Contours , 2005, Journal of Mathematical Imaging and Vision.

[9]  Alex Pentland,et al.  Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Christopher J. S. de Silva,et al.  Determining the Number of Clusters in a Mixture by Iterative Model Space Refinement - with Application to Free-swimming Fish Detection , 2003, DICTA.

[11]  Luc Van Gool,et al.  Stochastic Meta-Descent for Tracking Articulated Structures , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[12]  Hans-Hellmut Nagel,et al.  Tracking Persons in Monocular Image Sequences , 1999, Comput. Vis. Image Underst..

[13]  Richard Szeliski,et al.  Tracking with Kalman snakes , 1993 .

[14]  David A. Forsyth,et al.  How Does CONDENSATION Behave with a Finite Number of Samples? , 2000, ECCV.

[15]  A. Voter Hyperdynamics: Accelerated Molecular Dynamics of Infrequent Events , 1997 .

[16]  David A. Forsyth,et al.  Strike a pose: tracking people by finding stylized poses , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[17]  H. Saunders,et al.  Probability, Random Variables and Stochastic Processes (2nd Edition) , 1989 .

[18]  Cristian Sminchisescu,et al.  Discriminative density propagation for 3D human motion estimation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[19]  S. Dreyfus,et al.  Thermodynamical Approach to the Traveling Salesman Problem : An Efficient Simulation Algorithm , 2004 .

[20]  Mohan M. Trivedi,et al.  Human Body Model Acquisition and Tracking Using Voxel Data , 2003, International Journal of Computer Vision.

[21]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[22]  Larry S. Davis,et al.  3-D model-based tracking of humans in action: a multi-view approach , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[23]  David H. Wolpert,et al.  What makes an optimization problem hard? , 1995, Complex..

[24]  Ailsa H. Land,et al.  An Automatic Method of Solving Discrete Programming Problems , 1960 .

[25]  Peter Green,et al.  Markov chain Monte Carlo in Practice , 1996 .

[26]  Roger Fletcher,et al.  Practical methods of optimization; (2nd ed.) , 1987 .

[27]  Cristian Sminchisescu,et al.  Fast mixing hyperdynamic sampling , 2006, Image Vis. Comput..

[28]  Guillermo Sapiro,et al.  Minimal Surfaces Based Object Segmentation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Rama Chellappa,et al.  Model Driven Segmentation of Articulating Humans in Laplacian Eigenspace , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  J. Edward Jackson,et al.  A User's Guide to Principal Components. , 1991 .

[31]  Michael J. Black,et al.  The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields , 1996, Comput. Vis. Image Underst..

[32]  Vladimir Kolmogorov,et al.  Computing geodesics and minimal surfaces via graph cuts , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[33]  D. Wolpert,et al.  No Free Lunch Theorems for Search , 1995 .

[34]  Takeo Kanade,et al.  A real time system for robust 3D voxel reconstruction of human motions , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[35]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[36]  Cristian Sminchisescu Consistency and coupling in human model likelihoods , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[37]  David J. Fleet,et al.  Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.

[38]  Geoffrey E. Hinton,et al.  A Mode-Hopping MCMC sampler , 2003 .

[39]  Cristian Sminchisescu,et al.  Kinematic jump processes for monocular 3D human tracking , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[40]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[41]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[42]  Cristian Sminchisescu,et al.  Estimating Articulated Human Motion with Covariance Scaled Sampling , 2003, Int. J. Robotics Res..

[43]  J. L. Roux An Introduction to the Kalman Filter , 2003 .

[44]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[45]  Gang Qian,et al.  Learning and Inference of 3D Human Poses from Gaussian Mixture Modeled Silhouettes , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[46]  Jitendra Malik,et al.  Tracking people with twists and exponential maps , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[47]  Emiliano Gambaretto,et al.  Automatic Generation of a Subject-Specific Model for Accurate Markerless Motion Capture and Biomechanical Applications , 2010, IEEE Transactions on Biomedical Engineering.

[48]  H. Bozdogan Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

[49]  P. KaewTrakulPong,et al.  An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection , 2002 .

[50]  Luc Van Gool,et al.  Full body tracking from multiple views using stochastic sampling , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[51]  Brian C. Lovell,et al.  Measurement Function Design for Visual Tracking Applications , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[52]  Larry S. Davis,et al.  Learned temporal models of image motion , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[53]  Michael J. Black,et al.  HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.

[54]  Y. Ho,et al.  A Bayesian approach to problems in stochastic estimation and control , 1964 .

[55]  Rama Chellappa,et al.  3D Shape-Encoded Particle Filter for Object Tracking and Its Application to Human Body Tracking , 2008, EURASIP J. Image Video Process..

[56]  Michael Isard,et al.  Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking , 2000, ECCV.

[57]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[58]  Roman Goldenberg,et al.  Fast Geodesic Active Contours , 1999, Scale-Space.

[59]  Ian D. Reid,et al.  Automatic partitioning of high dimensional search spaces associated with articulated body motion capture , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[60]  Andrew Zisserman,et al.  Quadric reconstruction from dual-space geometry , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[61]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[62]  A. Voter A method for accelerating the molecular dynamics simulation of infrequent events , 1997 .

[63]  Marc Pollefeys,et al.  Multiple view geometry , 2005 .

[64]  Andrew Blake,et al.  Articulated body motion capture by annealed particle filtering , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[65]  Cristian Sminchisescu,et al.  Estimation algorithms for ambiguous visual models : Three Dimensional Human Modeling and Motion Reconstruction in Monocular Video Sequences. (Algorithmes d'estimation pour des modèles visuels ambigus : Modélisation Humaine Tridimensionnelle et Reconstruction du Mouvement dans des Séquences Vidéo Mon , 2002 .

[66]  Daniel P. Huttenlocher,et al.  Efficient matching of pictorial structures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[67]  H.F. Durrant-Whyte,et al.  A new approach for filtering nonlinear systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[68]  David J. Fleet,et al.  Monocular 3-D Tracking of the Golf Swing , 2005, CVPR.

[69]  Cristian Sminchisescu,et al.  Building Roadmaps of Local Minima of Visual Models , 2002, ECCV.

[70]  David C. Hogg,et al.  Wormholes in shape space: tracking through discontinuous changes in shape , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[71]  Andrew Blake,et al.  A probabilistic contour discriminant for object localisation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[72]  M. Pitt,et al.  Filtering via Simulation: Auxiliary Particle Filters , 1999 .

[73]  Hugues Talbot,et al.  Globally minimal surfaces by continuous maximal flows , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[74]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[75]  A. Voter,et al.  Smart Darting Monte Carlo , 2001 .

[76]  Rómer Rosales,et al.  Learning Body Pose via Specialized Maps , 2001, NIPS.

[77]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[78]  Brian C. Lovell,et al.  Unsupervised cell nucleus segmentation with active contours , 1998, Signal Process..

[79]  Radford M. Neal Annealed importance sampling , 1998, Stat. Comput..

[80]  Vincent Lepetit,et al.  Robust data association for online application , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[81]  Xu Zhao,et al.  Generative tracking of 3D human motion by hierarchical annealed genetic algorithm , 2008, Pattern Recognit..

[82]  Ling Guan,et al.  Tracking human movement patterns using particle filtering , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[83]  W. C. Still,et al.  A Smart Monte Carlo Technique for Free Energy Simulations of Multiconformational Molecules. Direct Calculations of the Conformational Populations of Organic Molecules , 1995 .

[84]  Michael Isard,et al.  ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework , 1998, ECCV.

[85]  Takeo Kanade,et al.  On the sustained tracking of human motion , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[86]  Nando de Freitas,et al.  The Unscented Particle Filter , 2000, NIPS.

[87]  Changming Sun,et al.  Circular shortest paths by branch and bound , 2003, Pattern Recognit..

[88]  Michael J. Black,et al.  Cardboard people: a parameterized model of articulated image motion , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[89]  John MacCormick,et al.  Stochastic Algorithms for Visual Tracking , 2002, Distinguished Dissertations.

[90]  Qiang He,et al.  Development and analysis of a real-time human motion tracking system , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

[91]  James M. Rehg,et al.  A multiple hypothesis approach to figure tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[92]  Sidharth Bhatia,et al.  Tracking loose-limbed people , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[93]  David J. Fleet,et al.  People tracking using hybrid Monte Carlo filtering , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[94]  Luc Van Gool,et al.  Fast stochastic optimization for articulated structure tracking , 2007, Image Vis. Comput..