Cascaded probabilistic tracking with supervised dictionary learning
作者：
Highlights：
• Use surrounding templates to represent appearance variation approximately.
• Learn a compact and discriminative dictionary by supervised learning method.
• Combine variance filter and observation model in cascaded probabilistic tracking.
• Adopt an adaptive update scheme to update the surrounding templates.
摘要
Highlights•Use surrounding templates to represent appearance variation approximately.•Learn a compact and discriminative dictionary by supervised learning method.•Combine variance filter and observation model in cascaded probabilistic tracking.•Adopt an adaptive update scheme to update the surrounding templates.
论文关键词：Visual tracking,Cascaded filtering,Supervised dictionary learning,Particle filter
论文评审过程：Received 16 December 2014, Revised 2 September 2015, Accepted 4 September 2015, Available online 11 September 2015, Version of Record 14 November 2015.
论文官网地址：https://doi.org/10.1016/j.image.2015.09.002
