An efficient part-based approach to action recognition from RGB-D video with BoW-pyramid representation

Jih-Sheng Tsai, Yen-Pin Hsu, Chengyin Liu, Li-Chen Fu. An efficient part-based approach to action recognition from RGB-D video with BoW-pyramid representation. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, November 3-7, 2013. pages 2234-2239, IEEE, 2013. [doi]

@inproceedings{TsaiHLF13,
  title = {An efficient part-based approach to action recognition from RGB-D video with BoW-pyramid representation},
  author = {Jih-Sheng Tsai and Yen-Pin Hsu and Chengyin Liu and Li-Chen Fu},
  year = {2013},
  doi = {10.1109/IROS.2013.6696669},
  url = {http://dx.doi.org/10.1109/IROS.2013.6696669},
  researchr = {https://researchr.org/publication/TsaiHLF13},
  cites = {0},
  citedby = {0},
  pages = {2234-2239},
  booktitle = {2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, November 3-7, 2013},
  publisher = {IEEE},
}