Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition

@inproceedings{AlAkam2018LocalAG,
  title={Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition},
  author={Rawya Al-Akam and Dietrich Paulus},
  booktitle={ICPRAM},
  year={2018}
}
  • Rawya Al-Akam, Dietrich Paulus
  • Published in ICPRAM 2018
  • Computer Science
  • This paper attempts to present human action recognition through the combination of local and global feature descriptors values, which are extracted from RGB and Depth videos. A video sequence is represented as a collection of spatio and spatio-temporal features. However, the challenging problems exist in both local and global descriptors for classifying human actions. We proposed a novel combination of the two descriptor methods, 3D trajectory and motion boundary histogram for the local feature… CONTINUE READING

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