Attribute-based learning for gait recognition using spatio-temporal interest points
作者：
Highlights：
• A new gait feature is extracted from a raw gait video directly.
• The proposed gait feature extraction is performed in the spatio-temporal domain.
• The attribute-based learning is used to enhance the SVM-based gait classification.
• The proposed method has outstanding performances under changes of clothing types.
• The proposed method has outstanding performances under changes of carry conditions.
摘要
•A new gait feature is extracted from a raw gait video directly.•The proposed gait feature extraction is performed in the spatio-temporal domain.•The attribute-based learning is used to enhance the SVM-based gait classification.•The proposed method has outstanding performances under changes of clothing types.•The proposed method has outstanding performances under changes of carry conditions.
论文关键词：Gait recognition,Human identification,Spatio-temporal,Attribute-based learning
论文评审过程：Received 22 February 2014, Revised 28 September 2014, Accepted 14 October 2014, Available online 1 November 2014.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.10.004
