Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion

@article{Green2004QuantifyingAR,
  title={Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion},
  author={Richard D. Green and Ling Guan},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2004},
  volume={14},
  pages={179-190}
}
Research into tracking and recognizing human movement has so far been mostly limited to gait or frontal posing. Part I of this paper presents a continuous human movement recognition (CHMR) framework which forms a basis for the general biometric analysis of continuous human motion as demonstrated through tracking and recognition of hundreds of skills from gait to twisting saltos. Part II of this paper presents CHMR applications to the biometric authentication of gait, anthropometric data, human… CONTINUE READING
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