Sparsity-inducing dictionaries for effective action classification
作者：
Highlights：
• Sparsity-inducing dictionaries as an effective representation for action classification in videos.
• Features obtained from sparsity based representation provide enough discriminative information for classification of action videos.
• Constructed dictionaries are distinct for a large number of action classes resulting in a significant improvement in classification accuracy.
摘要
Highlights•Sparsity-inducing dictionaries as an effective representation for action classification in videos.•Features obtained from sparsity based representation provide enough discriminative information for classification of action videos.•Constructed dictionaries are distinct for a large number of action classes resulting in a significant improvement in classification accuracy.
论文关键词：Action Classification,Dictionary Learning,Sparse Representation,Action Bank features
论文评审过程：Received 30 August 2015, Revised 1 March 2016, Accepted 8 March 2016, Available online 16 March 2016, Version of Record 23 August 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.03.011
