RVM-based human action classification through Gabor and Haar feature extraction

@article{Maheswari2016RVMbasedHA,
  title={RVM-based human action classification through Gabor and Haar feature extraction},
  author={S. Maheswari and P. Arockia Jansi Rani},
  journal={IJCVR},
  year={2016},
  volume={6},
  pages={54-64}
}
Human action recognition plays a vital role in surveillance applications. Human action recognition is motivated by some of the applications such as video retrieval, video surveillance systems, human robot interaction, to interact with deaf and dumb people etc. The aim is to analyse the role of Adaboost in the process of recognising the human action by extracting the motion features using optical flow. Adaboost is a supervised learning method used to select the subset of frames with most… CONTINUE READING