Learning features for action recognition and identity with deep belief networks

@article{Ali2014LearningFF,
  title={Learning features for action recognition and identity with deep belief networks},
  author={Khawlah Hussein Ali and Tianjiang Wang},
  journal={2014 International Conference on Audio, Language and Image Processing},
  year={2014},
  pages={129-132}
}
Feature extraction is a crucial part of computer vision. In this paper, we present a novel method that can automatically extract relevant features from video for action recognition and identity of human who makes the action, in single framework. We propose a watermark embedding in a video to represent a human identity as a 2-D wavelet transform. The feature extraction consists of a Deep Belief Network (DBN) on Discrete Fourier Transforms (DFTs) of the tracked features in a video. We then use… CONTINUE READING

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