correlation filter 目标跟踪论文集

      correlation filter 最近几年在目标跟踪中取得不错成绩，得到较为广泛地关注。为研究correlation filter在目标跟踪中的应用，将相应的主要论文进行汇总，以便后续学习总结和分析。

        收集从2010年开始发表在顶会顶刊上的使用correlation filter进行目标跟踪的论文大致有：

       [1] . Visual object tracking using adaptive orrelation filters. In CVPR, 2010. 

       [2]. Exploiting the circulant structure of tracking-by-detection with kernels. In ECCV, 2012.

       [3]. Accurate scale estimation for robust visual tracking. In BMVC,2014.

       [4]. Fast visual tracking via dense spatio-temporal context learning. In ECCV, 2014.

       [5] .Adaptive color attributes for real-time visual tracking. In CVPR, 2014.

       [6] . High speed tracking with kernelized correlation filters. PAMI, 2015. 

       [7] . Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking. In CVPR,  2015.

       [8] . Reliable patch trackers: Robust visual tracking by exploiting reliable patches. In CVPR,  2015. 

       [9] . Real-time part-based visual tracking via adaptive correlation filters. In CVPR, 2015.

       [10] . Long-term correlation tracking. In CVPR, 2015. 

       [11] . Multi-Kernel Correlation Filter for Visual Tracking. In ICCV2015

       [12] . Learning Spatially Regularized Correlation Filters for Visual Tracking. In ICCV2015    

       [13] .Scalable Kernel Correlation Filter with Sparse Feature Integration. In ICCV2015 workshop

       [14] .Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation.  In ICCV2015 workshop

       [15] . Multi-Template Scale-Adaptive Kernelized Correlation Filters. In ICCV2015 workshop 

       [16] .Convolutional Features for Correlation Filter Based Visual Tracking. In ICCV2015 workshop

       [17] . Structural Correlation Filter for Robust Visual Tracking. In CVPR2016

       [18] .Staple: Complementary Learners for Real-Time Tracking. In CVPR2016

       [19] .Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning.In ECCV 2016.

       [20] . Target Response Adaptation for Correlation Filter Tracking. ECCV2016

       [21] . Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV2016

       

         以上论文的下载链接为：

               https://github.com/TJXUNwu/Correlation-Filter-Tracking

             

       当然，利用correlation filter进行目标跟踪的论文还有很多，希望网友能进行补充，并在评论中给出其他论文的链接以及相应文章的代码链接，以便进行研究。