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Real-Time Head Action Recognition Based on HOF and ELM

Tie HONG, Yuan Wei LI, Zhi Ying WANG

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Summary :

Head action recognition, as a specific problem in action recognition, has been studied in this paper. Different from most existing researches, our head action recognition problem is specifically defined for the requirement of some practical applications. Based on our definition, we build a corresponding head action dataset which contains many challenging cases. For action recognition, we proposed a real-time head action recognition framework based on HOF and ELM. The framework consists of face detection based ROI determination, HOF feature extraction in ROI, and ELM based action prediction. Experiments show that our method achieves good accuracy and is efficient enough for practical applications.

Publication
IEICE TRANSACTIONS on Information Vol.E102-D No.1 pp.206-209
Publication Date
2019/01/01
Publicized
2018/10/05
Online ISSN
1745-1361
DOI
10.1587/transinf.2018EDL8191
Type of Manuscript
LETTER
Category
Pattern Recognition

Authors

Tie HONG
  National University of Defense Technology
Yuan Wei LI
  Zhejiang Normal University
Zhi Ying WANG
  National University of Defense Technology

Keyword