Partwise bag-of-words-based multi-task learning for human action recognition

Electronics Letters

Volumn 49, Issue 13, 2013, Pages 803-805

  Liu, An An ^a   Su, Yuting ^a   Gao, Zan ^b   Hao, Tong ^c   Yang, Zhao Xuan ^a   Zhang, Zhe ^d  

^a TIANJIN UNIVERSITY   (China)

^b TIANJIN UNIVERSITY OF TECHNOLOGY   (China)

^c TIANJIN NORMAL UNIVERSITY   (China)

^d MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BOW REPRESENTATIONS; HUMAN-ACTION RECOGNITION; IMPROVE PERFORMANCE; LARGE SCALE EXPERIMENTS; MULTITASK LEARNING; STATE-OF-THE-ART METHODS; TRANSFER LEARNING;

GESTURE RECOGNITION;

MOTION ESTIMATION;

EID: 84880349928     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2013.1481     Document Type: Article

References (5)

1. Wang, H., Ullah, M.M., and Klaser, A., et al.: 'Evaluation of Local Spatio-temporal Features for Action Recognition' Proc. BMVC'09, London, UK, September 2009, pp. 1-11
2. Le, Q.V., Zou, W.Y., and Yeung, S.Y., et al.: 'Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis'. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, June 2011, pp. 3361-3368
3. Liu, A.A.: 'Human action recognition with structured discriminative random fields', Electron. Lett., 2011, 47, (11), pp. 651-653
4. Felzenszwalb, P., Girshick, R., and McAllester, D., et al.: 'Object detection with discriminatively trained part based models', IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32, (9), pp. 1627-1645
5. Zhou, J.Y: 'Multi-task learning in crisis event classification'. Tech. Rep., http://www.public.asu.edu/jzhou29/