Evaluating a bag-of-visual features approach using spatio-temporal features for action recognition

@article{Nazir2018EvaluatingAB,
  title={Evaluating a bag-of-visual features approach using spatio-temporal features for action recognition},
  author={Saima Nazir and Muhammad Haroon Yousaf and Sergio A. Velastin},
  journal={Computers & Electrical Engineering},
  year={2018},
  volume={72},
  pages={660-669}
}
Abstract The detection of the spatial-temporal interest points has a key role in human action recognition algorithms. This research work aims to exploit the existing strength of bag-of-visual features and presents a method for automatic action recognition in realistic and complex scenarios. This paper provides a better feature representation by combining the benefit of both a well-known feature detector and descriptor i.e. the 3D Harris space-time interest point detector and the 3D Scale… CONTINUE READING