Markerless human motion capture and pose recognition

2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009

Volumn , Issue , 2009, Pages 13-16

  Huo, Feifei ^a   Hendriks, Emile ^a   Paclik, Pavel ^b   Oomes, A H J ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PR Sys Design   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

2-D MODEL; 3D COORDINATES; BODY PARTS; CLASSIFICATION RESULTS; DETECTION AND TRACKING; FEATURE POINT; FEATURE SPACE; HUMAN MOTION CAPTURE; HUMAN MOTIONS; HUMAN POSE; MARKERLESS; MULTI-CLASS PROBLEMS; NEAREST MEAN CLASSIFIERS; SKIN COLOR MODELS; VIDEO SEQUENCES; WHOLE BODY;

CLASSIFIERS; FACE RECOGNITION; IMAGE ANALYSIS; LEARNING SYSTEMS; MULTIMEDIA SERVICES; MULTIMEDIA SYSTEMS; SKIN; VIDEO RECORDING;

THREE DIMENSIONAL;

EID: 70349269720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIAMIS.2009.5031420     Document Type: Conference Paper

References (10)

1. T. B. Moeslund, A. Hilton and V. KruDEU, "A survey of advances in vision-based human motion capture and analysis," in Computer Vision and Image Understanding, vol.104, pp. 90-126, November 2006.
2. G. Rogez, J. Rihan, S. Ramalingam and etc, "Randomized trees for human pose detection," in Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, June 2008.
3. R. Okad and S. Soatto, "Relevant feature selection for human pose estimation and localization in cluttered images," in European Conference on Computer Vision, 2008, vol.II, pp. 434-445.
4. N. Thome, D. Merad and S. Miguet, "Human body part labeling and tracking using graph matching theory," in International Conference on Video and Signal Based Surveillance. IEEE, 2006, pp. 38-43.
5. R. Hoshino and D. Arita, "Real-time human motion analysis based on analysis of silhouette contour and color blob," in Lecture Notes in Computer Science, 2002, pp. 92-103.
6. M. Singh, M. Mandal and A. Basu, "Visual gesture recognition for ground air traffic control using the radon transform," in International Conference on Intelligent Robots and Systems, 2005, pp. 2586-2591.
7. C. Stauffer and W. Grimson, "Adaptive background mixture models for real-time tracking," in Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 1999, vol.II, pp. 246-252.
8. A. Micilotta, "Detection and tracking of humans for visual interaction," in PhD. Dissertation, School of Electronics and Physical Sciences, University of Surrey, September 2005.
9. M. Isard and A. Blake, "CONDENSATION-Conditional density propagation for visual tracking," in International Journal of Computer Vision, vol.29, pp. 5-28, January 1998.
10. F.M., Porikli and O. Tuzel, "Human body tracking by adaptive background models and mean-shift analysis," in IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, March 2003.