Reconstruction of 3D human body pose for gait recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3832 LNCS, Issue , 2006, Pages 619-625

  Yang, Hee Deok ^a   Lee, Seong Whan ^a  

^a Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE RECOGNITION; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; LINEAR SYSTEMS; MATHEMATICAL MODELS; THREE DIMENSIONAL COMPUTER GRAPHICS;

2D SILHOUETTE IMAGES; 3D HUMAN BODY POSE; GAIT RECOGNITION; OPTIMAL COEFFICIENTS; PROTOTYPES;

IMAGE RECONSTRUCTION;

EID: 33744958122     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (15)

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2. Bissacoo, A. et al.: Recognition of Human Gaits. Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Hawaii, USA, (Dec 2001) 52-57
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. Collins, R., Gross, R., Shi, J.: Silhouette-based Human Identification from Body Shape and Gait. Proc. of the IEEE International Conference on Automatic Face and Gesture Recognition, Washington D.C., USA, (May 2002) 351-356
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9. Kale, A. et al.: Identification of Humans using Gait. IEEE Trans. on Image Processing, Vol. 13, (2004) 1163-1173
10. Little, J., Boyd, J.: Recognizing People by Their Gait: the Shape of Motion. Videre, Vol. 1, No. 2, (1998) 1-32
11. Murray, M.: Gait as a Total Pattern of Movement. American Journal of Physical Medicine, Vol. 46, No. 1, (1967) 290-332
12. Resales, 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
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14. The Gait Recognition Database at Georgia Tech, http://www.cc.gatech.edu/cpl/projects hid/images.html.
15. The KU Gesture Database, http://gesturedb.korea.ac.kr/.