文件列表:

SRDCF_with_DenseNet\average_feature_region.m (1067, 2020-06-30)
SRDCF_with_DenseNet\cconvmtx2.m (495, 2020-06-30)
SRDCF_with_DenseNet\compilemex_linux.m (407, 2020-06-30)
SRDCF_with_DenseNet\compilemex_win.m (323, 2020-06-30)
SRDCF_with_DenseNet\compile_mexResize.m (0, 2020-06-30)
SRDCF_with_DenseNet\demo.m (238, 2020-06-30)
SRDCF_with_DenseNet\dft2dfs_matrix.m (1199, 2020-06-30)
SRDCF_with_DenseNet\fhog.m (3036, 2020-06-30)
SRDCF_with_DenseNet\get_colorspace.m (1284, 2020-06-30)
SRDCF_with_DenseNet\get_deepfeature.m (941, 2020-06-30)
SRDCF_with_DenseNet\get_features.m (1887, 2020-06-30)
SRDCF_with_DenseNet\get_fhog.m (630, 2020-06-30)
SRDCF_with_DenseNet\get_pixels.m (729, 2020-06-30)
SRDCF_with_DenseNet\gradient2.m (1248, 2020-06-30)
SRDCF_with_DenseNet\gradientHist.m (3496, 2020-06-30)
SRDCF_with_DenseNet\gradientMag.m (2393, 2020-06-30)
SRDCF_with_DenseNet\gradientMex.cpp (19306, 2020-06-30)
SRDCF_with_DenseNet\gradientMex.mexa64 (23054, 2020-06-30)
SRDCF_with_DenseNet\gradientMex.mexw64 (30720, 2020-06-30)
SRDCF_with_DenseNet\init_net.m (129, 2020-06-30)
SRDCF_with_DenseNet\integralVecImage.m (1625, 2020-06-30)
SRDCF_with_DenseNet\libopencv_core.a (3590102, 2020-06-30)
SRDCF_with_DenseNet\libopencv_core.so (2009448, 2020-06-30)
SRDCF_with_DenseNet\libopencv_imgproc.a (3414242, 2020-06-30)
SRDCF_with_DenseNet\libopencv_imgproc.so (1830760, 2020-06-30)
SRDCF_with_DenseNet\load_video_info.m (690, 2020-06-30)
SRDCF_with_DenseNet\mexResize.cpp (1731, 2020-06-30)
SRDCF_with_DenseNet\mexResize.mexa64 (102795, 2020-06-30)
SRDCF_with_DenseNet\mexResize.mexw64 (55296, 2020-06-30)
SRDCF_with_DenseNet\mtimesx.c (55598, 2020-06-30)
SRDCF_with_DenseNet\mtimesx.m (12170, 2020-06-30)
SRDCF_with_DenseNet\mtimesx.mexa64 (263249, 2020-06-30)
SRDCF_with_DenseNet\mtimesx.mexw64 (321536, 2020-06-30)
SRDCF_with_DenseNet\mtimesx_build.m (16880, 2020-06-30)
SRDCF_with_DenseNet\mtimesx_RealTimesReal.c (295670, 2020-06-30)
SRDCF_with_DenseNet\mtimesx_sparse.m (3101, 2020-06-30)
SRDCF_with_DenseNet\MxArray.cpp (19883, 2020-06-30)
SRDCF_with_DenseNet\MxArray.hpp (36099, 2020-06-30)
SRDCF_with_DenseNet\opencv2\calib3d\calib3d.hpp (38377, 2020-06-30)
SRDCF_with_DenseNet\opencv2\contrib\contrib.hpp (39172, 2020-06-30)
... ...

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 Hager, 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 Dollar. "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/

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：