A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition

@inproceedings{Yang2014ANG,
  title={A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition},
  author={Luyu Yang and Chenqiang Gao and Deyu Meng and Lu Jiang},
  booktitle={ACCV},
  year={2014}
}
Interaction recognition is an important part of action recognition and has various applications such as surveillance systems, human computer interface, and machine intelligence. In this paper, we propose a novel group-sparsity-optimization-based feature selection model for complex interaction recognition. Firstly multiple local and global features are concatenated into a feature pool, and then based on the group sparsity optimization, different feature types are automatically selected to fit… CONTINUE READING
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