HumanEva Dataset

Publications describing HumanEva datasets

Published papers in major jounrals that utilize HumanEva datasets

  1. X. Zhang and G. Fan. Dual Gait Generative Models for Human Motion Estimation from a Single Camera, In IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, (Special issue on New Advances in Video-based Gait Analysis and Applications: Challenges and Solutions), Vol. 40, No. 4, pp. 1034-1049, Aug. 2010.
  2. L. Bo and C. Sminchisescu. Twin Gaussian Processes for Structured Prediction, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  3. P. Peursum, S. Venkatesh and G. West. A Study on Smoothing for Particle-Filtered 3D Human Body Tracking, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  4. J. Gall, B. Rosenhahn, T. Brox and H.-P. Seidel. Optimization and Filtering for Human Motion Capture, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  5. M. Bergtholdt, J. H. Kappes, S. Schmidt and C. Schnörr. A Study of Parts-Based Object Class Detection Using Complete Graphs, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  6. C.-S. Lee and A. M. Elgammal. Coupled Visual and Kinematic Manifold Models for Tracking, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  7. M. A. Brubaker, D. J. Fleet and A. Hertzmann. Physics-Based Person Tracking Using the Anthropomorphic Walker, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  8. S. Corazza, L. Mündermann, E. Gambaretto, G. Ferrigno and T. P. Andriacchi. Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  9. R. Li, T.-P. Tian, S. Sclaroff and M.-H. Yang. 3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers, In International Journal of Computer Vision, Vol. 87 (1-2), 2010.
  10. J.-W. Hsieh, C.-H. Chuang, S.-Y. Chen, C.-C. Chen and K.-C. Fan. Segmentation of Human Body Parts Using Deformable Triangulation, In IEEE Transactions on Systems, Man, and Cybernetics . Part A: Systems and Humans, Vol. 40 (3), May 2010.
  11. I. Riusa, J. Gonzàleza, J. Varonab and F. X. Rocaa. Action-specific motion prior for efficient Bayesian 3D human body tracking, In Pattern Recognition, Vol. 42 (11), November 2009.
  12. A. Sundaresan and R. Chellappa. Model driven segmentation and registration of articulating humans in Laplacian Eigenspace, In IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 10 (3), October 2008.
  13. G. Rogez, C. Orrite-Uruñuelaa and J. Martínez-del-Rincona. A spatio-temporal 2D-models framework for human pose recovery in monocular sequences, In Pattern Recognition, Vol. 41, Issue 9, pp. 2926-2944, September 2008.
  14. X. Zhao and Y. Liu. Generative tracking of 3D human motion by hierarchical annealed genetic algorithm, In Pattern Recognition, Vol. 41, Issue 8, pp. 2470-2483, August 2008.

Published papers in major conferences reporting results using HumanEva datasets

  1. M. Salzmann, C. H. Ek, R. Urtasun and T. Darrell. Factorized Orthogonal Latent Spaces, In International Conference on Artificial Intelligence and Statistics, 2010.
  2. J. H. Kappes, S. Schmidt and C. Schnorr. MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, In European Conference on Computer Vision (ECCV), 2010.
  3. J. Gall, A. Yao and L. V. Gool. MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, In European Conference on Computer Vision (ECCV), 2010.
  4. S. M. Yoon and A. Kuijper. MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation, In International Conference on Pattern Recognition (ICPR), 2010.
  5. G. W. Taylor, L. Sigal, D. J. Fleet and G. E. Hinton. Dynamical Binary Latent Variable Models for 3D Human Pose Tracking , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  6. M. Andriluka, S. Roth and B. Schiele. Monocular 3D pose estimation and tracking by detection , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  7. Z. Wang and R. Chung. Integrating Multiple Uncalibrated Views for Human 3D Pose Estimatio , In Advances in Visual Computing, 2010.
  8. J.-B. Huang and M.-H. Yang. Estimating Human Pose from Occluded Images , In Asian Computer Vision Conference (ACCV), 2009.
  9. A. Baak, B. Rosenhahn, M. Muller and H.-P. Seidel. Stabilizing motion tracking using retrieved motion priors , In IEEE International Conference on Computer Vision (ICCV), 2009.
  10. C. Ionescu, L. Bo and C. Sminchisescu. Structural SVM for Visual Localization and Continuous State Estimation , In IEEE International Conference on Computer Vision (ICCV), 2009.
  11. B. Liefeng and C. Sminchisescu. Structured output-associative regression , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
  12. A. Balan and M. J. Black. The Naked Truth: Estimating Body Shape Under Clothing , In European Conference on Computer Vision (ECCV), 2008.
  13. H. Ning, W. Xu, Y. Gong and T. S. Huang. Latent Pose Estimator for Continuous Action Recognition , In European Conference on Computer Vision (ECCV), 2008.
  14. R. Okad and S. Soatto. Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images , In European Conference on Computer Vision (ECCV), 2008.
  15. G. Rogez, J. Rihan, S. Ramalingam, C. Orrite and Philip H.S. Torr. Randomized Trees for Human Pose Detection , In Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  16. L. Bo, C. Sminchisescu, A. Kanaujia and D. Metaxas. Fast Algorithms for Large Scale Conditional 3D Prediction , In Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  17. R. Urtasun and T. Darrell. Sparse Probabilistic Regression for Activity-independent Human Pose Inference , In Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  18. M. Vondrak, L. Sigal and Odest C. Jenkins. Physical Simulation for Probabilistic Motion Tracking , In Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  19. C. Canton-Ferrer, J.R. Casas and M.Pardas. Exploiting Structural Hierarchy in Articulated Objects towards Robust Motion Capture , In Articulated Motion and Deformable Objects (AMDO), 2008.
  20. B. Chakraborty, M. Pedersoli and J. Gonzalez. View-Invariant Human Action Detection Using Component-Wise HMM of Body Parts , In Articulated Motion and Deformable Objects (AMDO), LNCS 5098, pp. 208-217, 2008.
  21. L. Gond, P. Sayd, T. Chateau and M. Dhome. A 3D Shape Descriptor for Human Pose Recovery , In Articulated Motion and Deformable Objects (AMDO), 2008.
  22. R.W. Poppe and M. Poel. Body-part templates for recovery of 2D human poses under occlusion , In Articulated Motion and Deformable Objects (AMDO), 2008.
  23. C. Schmaltz, B. Rosenhahn, T. Brox, J. Weickert, L. Wietzke and G. Sommer. Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions , In Articulated Motion and Deformable Objects (AMDO), 2008.
  24. J. Martinez-del-Rincon, J.-C. Nebel, D. Makris and C. Orrite-Urunuela. Tracking Human Body Parts Using Particle Filters Constrained by Human Biomechanics , In British Machine Vision Conference (BMVC), 2008.
  25. P. Kuo, D. Makris, N. Megherbi and J.-C. Nebel. Integration of Local Image Cues for Probabilistic 2D Pose Recovery , In International Symposium on Visual Computing (ISVC), 2008.
  26. A. Bissacco, M.-H. Yang and S. Soatto. Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression , In Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2007.  
  27. R. Li, T.-P. Tian and S. Sclaroff. Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series , In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2007.
  28. X. Xu and B. Li. Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter , In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2007
  29. C.-S. Lee and A. Elgammal. Modeling View and Posture Manifold for Tracking , In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2007.
  30. L. Raskin, E. Rivlin and M. Rudzsky. Using Gaussian Process Annealing Particle Filter for 3D Human Tracking , In EURASIP Journal on Advances in Signal Processing, 2007.
  31. A. Shaji, B. Siddiquie, S. Chandran and D. Suter. Human Pose Extraction from Monocular Videos using Constrained Non-Rigid Factorization , In British Machine Vision Conference, 2007.

Published papers in workshops reporting results using HumanEva datasets

  1. X. Zhang and G. Fan. Joint Gait-Pose Manifold for Video-based Human Motion Estimation , In Proc. the 3rd International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA), in conjunction with CVPR, 2011.
  2. X. Zhang, G. Fan, and L. Chou. Two-layer Gait Generative Models for Estimating Unknown Human Gait Kinematics , In Proc. the 2nd International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA), in conjunction with ICCV, 2009.

Papers from HumanEva related workshops (EHuM-1 and EHuM-2)

  1. R. Poppe. Evaluating Example-based Pose Estimation: Experiments on the HumanEva Sets CVPR 2nd Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM2), 2007.
  2. S. Cheng and M. Trivedi. Articulated Body Pose Estimation from Voxel Reconstructions using Kinematically Constrained Gaussian Mixture Models: Algorithm and Evaluation , CVPR 2nd Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM2), 2007.
  3. Z. Husz, A. Wallace and P. Green. Evaluation of a Hierarchical Partitioned Particle Filter with Action Primitive , CVPR 2nd Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM2), 2007.
  4. N. Howe. Recognition-Based Motion Capture and the HumanEva II Test Data , CVPR 2nd Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM2), 2007.
  5. C.-S. Lee and A. Elgammal. Body Pose Tracking From Uncalibrated Camera Using Supervised Manifold Learning , NIPS Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM), 2006.
  6. R. Li, M.-H. Yang, S. Sclaroff and T.-P. Tian. Evaluation of 3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers , NIPS Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM), 2006.
  7. M. Brubaker, D. Fleet and A. Hertzmann. Physics-Based Human Pose Tracking , NIPS Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM), 2006.
  8. L. Mundermann, S. Corazza and T. Andriacchi. Markerless human motion capture through visual hull and articulated ICP , NIPS Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM), 2006.
  9. N. Howe. Evaluating Lookup-Based Monocular Human Pose Tracking on the HumanEva Test Data , NIPS Workshop on Evaluation of Articulated Human Motion and Pose Estimation (EHuM), 2006.