Reconstruction of 3D human body pose based on top-down learning

Lecture Notes in Computer Science

Volumn 3644, Issue PART I, 2005, Pages 601-610

  Yang, Hee Deok ^a   Park, Sung Kee ^b   Lee, Seong Whan ^a  

^a Korea University   (South Korea)

^b Korea Institute of Science and Technology   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; LINEAR SYSTEMS; MATHEMATICAL MODELS; NOISE ABATEMENT; PROBLEM SOLVING; SOFTWARE PROTOTYPING; 3D MODELING; CLASSIFICATION (OF INFORMATION); ENTROPY; INTELLIGENT COMPUTING;

2D SILHOUETTE IMAGES; 3D HUMAN BODY POSE; MONOCULAR IMAGE SEQUENCES; TRAINING DATA; LEAST SQUARE MINIMIZATION; LINEAR COMBINATIONS; MANIFOLD; MONOCULAR IMAGE SEQUENCE; OPTIMAL COEFFICIENT; SPATIO TEMPORAL FEATURES;

IMAGE RECONSTRUCTION;

EID: 27144465455     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538059_63     Document Type: Conference Paper

References (10)

1. Ahmad, M., Lee, S.-W.: 3D Human Body Modeling for Gesture Recognition. Technical report CAVR-TR-2004-12, Center for Artificial Vision Research, Korea University (2004)
2. Bobick, A. F., Davis, J.: The Representation and Recognition of Action Using Temporal Templates. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 23, No. 3, (2001) 257-267
3. Bowden, R., Mitchell, T. A., Sarhadi, M: Non-linear Statistical Models for 3D Reconstruction of Human Pose and Motion from Monocular Image Sequences. Image and Vision Computing, Vol. 18, No. 9, (2000) 729-737
4. Heap, T., Hogg, D.: Improving Specificity in PDMs Using a Hierarchical Approach. Proc. of 8th British Machine Vision Conference, Colchester, UK (Sep. 1997) 590-599
5. Howe, N., Leventon, M., Freeman, M.: Bayesian Reconstruction 3D Human Motion from Single-Camera Video. Advances in Neural Information Processing System, Vol. 12, (2000) 820-826
6. Mon, G. et al.: Recovering Human Body Configurations: Combining Segmentation and Recognition. Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington D.C., USA (July 2004)
7. Mori, G., Malik, J.: Estimating Human Body Configurations using Shape Context Matching. Proc. of 7th European Conference on Computer Vision, Copenhargen, Denmark (May 2002) 666-680
8. Ong, E. J., Gong, S.: A Dynamic Human Model Using Hybrid 2D-3D Representations in Hierarchical PCA Space. Proc. of 10th British Machine Vision Conference, Nottingham, UK (Sep. 1999) 33-42
9. Rosales, R., Sclaroff, S.: Specialized Mapping and the Estimation of Human Body Pose from a Single Image. Proc. of IEEE Workshop on Human Motion, Texas, USA (Dec. 2000) 19-24
10. Song, Y., Feng, X., Perona. P.: Towards Detection of Human Motion. Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, South Carolina, USA, (June 2000) 810-817