Update

README.md

@@ -5,9 +5,10 @@
 This is the research code for the paper:
 
 [Chao Ma](https://sites.google.com/site/chaoma99/), [Jia-Bin Huang](https://sites.google.com/site/jbhuang0604/), [Xiaokang Yang](http://english.seiee.sjtu.edu.cn/english/detail/842_802.htm) and [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/), "Hierarchical Convolutional Features for Visual Tracking", ICCV 2015    
-- [PDF]() 
+- [PDF](https://uofi.box.com/shared/static/o8wkllte8sfyuvt8ei77o24we8l36qoj.pdf) 
 - [Supplementary material](https://uofi.box.com/shared/static/6y3izswn40y6ckbwgm40ugledzp8fer9.pdf)
 - [Project page](https://sites.google.com/site/jbhuang0604/publications/cf2)
+- [Result visualization](https://sites.google.com/site/jbhuang0604/publications/cf2/visualization)
 
 
 The correlation filters with convolutional features (CF2) is a state-of-the-art tracker that exploits rich feature hierarchy from deep convolutional neural networks for visual tracking. For more details, please visit our [Project page](https://sites.google.com/site/jbhuang0604/publications/cf2).

Readme.txt

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+1. download the mat file and put into the fold of matconvnet/mat
+http://www.vlfeat.org/matconvnet/models/imagenet-vgg-verydeep-19.mat
+
+2. include the path of matconvnet/matlab
+
+3. The main entry file run_CF2.m
+
+% RUN_CF2:
+% process a sequence using CF2 (Correlation filter tracking with convolutional features)
+%
+% Input:
+%     - seq:        sequence name
+%     - res_path:   result path
+%     - bSaveImage: flag for saving images
+% Output:
+%     - results: tracking results, position prediction over time
+%
+%   It is provided for educational/researrch purpose only.
+%   If you find the software useful, please consider cite our paper.
+%
+%   Hierarchical Convolutional Features for Visual Tracking
+%   Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
+%   IEEE International Conference on Computer Vision, ICCV 2015
+%
+% Contact:
+%   Chao Ma ([email protected]), or
+%   Jia-Bin Huang ([email protected]).
+
+

To-Do.txt

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+1. Write readme file

data/MotorRolling/groundtruth_rect.txt

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external/matconvnet/.gitignore

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+*.xcodeproj/*xcuserdata*
+*.xcodeproj/project.xcworkspace/*xcuserdata*
+*.xcodeproj/project.xcworkspace/xcshareddata/
+mex/*
+mex
+data
+*.o
+*.pyc
+*~
+doc/.texpadtmp/*
+doc/*.pdf
+doc/.build
+index.html
+matconvnet-*.tar.gz
+local
+doc/site/docs/mfiles
+doc/site/site

external/matconvnet/COPYING

@@ -0,0 +1,14 @@
+Copyright (c) 2014 The MatConvNet team.
+All rights reserved.
+
+Redistribution and use in source and binary forms are permitted
+provided that the above copyright notice and this paragraph are
+duplicated in all such forms and that any documentation,
+advertising materials, and other materials related to such
+distribution and use acknowledge that the software was developed
+by the <organization>. The name of the
+<organization> may not be used to endorse or promote products derived
+from this software without specific prior written permission.
+THIS SOFTWARE IS PROVIDED ``AS IS'' AND WITHOUT ANY EXPRESS OR
+IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.