Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion. Green, R. D. & Guan, L. IEEE Trans. Circuits Syst. Video Techn., 14(2):179-190, 2004.
Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion. [link]Link  Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion. [link]Paper  bibtex   
@article{journals/tcsv/GreenG04,
  added-at = {2012-06-04T00:00:00.000+0200},
  author = {Green, Richard D. and Guan, Ling},
  biburl = {https://www.bibsonomy.org/bibtex/21207559370ff297242ef0b10e24393d8/dblp},
  ee = {http://dx.doi.org/10.1109/TCSVT.2003.821976},
  interhash = {99f1bae1a17b0027c554a5042fee05bc},
  intrahash = {1207559370ff297242ef0b10e24393d8},
  journal = {IEEE Trans. Circuits Syst. Video Techn.},
  keywords = {dblp},
  number = 2,
  pages = {179-190},
  timestamp = {2012-06-05T11:34:39.000+0200},
  title = {Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion.},
  url = {http://dblp.uni-trier.de/db/journals/tcsv/tcsv14.html#GreenG04},
  volume = 14,
  year = 2004
}
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