A Human Gait Classification Method Based on Adaboost Techniques Using Velocity Moments and Silhouette Shapes

Chin-Shyurng Fahn, Ming-Jui Kuo, Min-Feng Hsieh. A Human Gait Classification Method Based on Adaboost Techniques Using Velocity Moments and Silhouette Shapes. In Been-Chian Chien, Tzung-Pei Hong, Shyi-Ming Chen, Moonis Ali, editors, Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings. Volume 5579 of Lecture Notes in Computer Science, pages 535-544, Springer, 2009. [doi]

@inproceedings{FahnKH09,
  title = {A Human Gait Classification Method Based on Adaboost Techniques Using Velocity Moments and Silhouette Shapes},
  author = {Chin-Shyurng Fahn and Ming-Jui Kuo and Min-Feng Hsieh},
  year = {2009},
  doi = {10.1007/978-3-642-02568-6_54},
  url = {http://dx.doi.org/10.1007/978-3-642-02568-6_54},
  tags = {rule-based, classification},
  researchr = {https://researchr.org/publication/FahnKH09},
  cites = {0},
  citedby = {0},
  pages = {535-544},
  booktitle = {Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings},
  editor = {Been-Chian Chien and Tzung-Pei Hong and Shyi-Ming Chen and Moonis Ali},
  volume = {5579},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-02567-9},
}