目标跟踪SRDCF算法.zip

This MATLAB code implements the SRDCF tracker [1]. Installation: If the pre-compiled mexfiles do not work, the provided compilemex_[linux|windows] should compile them from the provided source code. Alternatively, you can try to modify them for your system. Instructions; * The "demo.m" script runs the tracker on the provided "Couple" sequence. * The "run_SRDCF.m" function can be directly integrated to the Online Tracking Benchmark (OTB). * The "run_SRDCF.m" contains the default parameters used to produce the results reported in the paper [1]. Contact: Martin Danelljan martin.danelljan@liu.se Third party code used in the implementation of this tracker is: * Piotrs image processing toolbox [2] * mtimesx [3] * opencv [4] * lightspeed toolbox [5] [1] Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. Learning Spatially Regularized Correlation Filters for Visual Tracking. In Proceedings of the International Conference in Computer Vision (ICCV), 2015. [2] Piotr Dollár. "Piotr’s Image and Video Matlab Toolbox (PMT)." http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html. [3] http://www.mathworks.com/matlabcentral/fileexchange/25977-mtimesx-fast-matrix-multiply-with-multi-dimensional-support [4] http://opencv.org/ [5] http://research.microsoft.com/en-us/um/people/minka/software/lightspeed/