A Novel Probabilistic Based Image Segmentation Model for Realtime Human Activity Detection

@article{Ratnakishore2016ANP,
  title={A Novel Probabilistic Based Image Segmentation Model for Realtime Human Activity Detection},
  author={D. Ratnakishore and M. ChandraMohan and Akepogu Ananda Rao},
  journal={Signal \& Image Processing : An International Journal},
  year={2016},
  volume={7},
  pages={11-27}
}
Automatic human activity detection is one of the difficult tasks in image segmentation application due to variations in size, type, shape and location of objects. In the traditional probabilistic graphical segmentation models, intra and inter region segments may affect the overall segmentation accuracy. Also, both directed and undirected graphical models such as Markov model, conditional random field have limitations towards the human activity prediction and heterogeneous relationships. In this… Expand
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