Learning spatially regularized similarity for robust visual tracking

作者：

Highlights：

• A spatially weighted similarity fusion scheme for more robust visual tracking

• Local similarity metric and its weights are jointly learned in a coherent online process.

• Evaluations show the robustness to partial occlusion with high matching accuracy.

摘要

•A spatially weighted similarity fusion scheme for more robust visual tracking•Local similarity metric and its weights are jointly learned in a coherent online process.•Evaluations show the robustness to partial occlusion with high matching accuracy.

论文关键词：Visual tracking,Part-based representation,Metric learning,Local similarity,Spatially regularized

论文评审过程：Received 12 May 2016, Revised 3 September 2016, Accepted 16 November 2016, Available online 27 November 2016, Version of Record 22 March 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.11.016