International Journal of Advanced Robotic Systems A Spatiotemporal Robust Approach for Human Activity Recognition Regular Paper

@inproceedings{Uddin2013InternationalJO,
  title={International Journal of Advanced Robotic Systems A Spatiotemporal Robust Approach for Human Activity Recognition Regular Paper},
  author={Md. Zia Uddin and Tae-Seong Kim and Jeong-Tai Kim},
  year={2013}
}
Nowadays, human activity recognition is considered to be one of the fundamental topics in computer vision research areas, including human-robot interaction. In this work, a novel method is proposed utilizing the depth and optical flow motion information of human silhouettes from video for human activity recognition. The recognition method utilizes enhanced independent component analysis (EICA) on depth silhouettes, optical flow motion features, and hidden Markov models (HMMs) for recognition… CONTINUE READING

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