Recognition of human actions using motion capture data and support vector machine

2009 WRI World Congress on Software Engineering, WCSE 2009

Volumn 1, Issue , 2009, Pages 234-238

  Wang, Jung Ying ^a   Lee, Hahn Ming ^b  

^a LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; MOTION CAPTURE; MOTION CAPTURE DATA; ON-BODY; OPTICAL MARKERS; PREDICTION ACCURACY; TRAINING SETS;

COMPUTER SOFTWARE; GESTURE RECOGNITION; IMAGE RETRIEVAL; MULTILAYER NEURAL NETWORKS;

SUPPORT VECTOR MACHINES;

EID: 72849133093     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCSE.2009.354     Document Type: Conference Paper

References (4)

1. J. Steffens, E. Elagin, H. Neven, "Person Spotter-fast and robust system for human detection, tracking and recognition", Proc. of IEEE Intl. Conf. on Automatic Face and Gesture Recognition. 1998, pp. 516-521.
2. M-H. Yang, N. Ahuja, "Recognizing hand gesture using motion trajectories", Proc. of IEEE CS Conference on Computer Vision and Pattern Recognition. 1999, pp. 468-472.
3. D-S. Jang, H-I. Choi, "Active models for tracking moving objects", Pattern Recognition, 33, (7), 2000, pp. 1135-1146.
4. C-C. Chang and C-J. Lin, "LIBSVM: a library for support vector machines", 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/ libsvm