Skip to content

cswaynecool/Occ_Aware

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Occ_Aware

This code is based on the paper "Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal Consistency". If you find our paper useful, please consider to cite our paper:
@article{sun2016occlusion,
title={Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal Consistency},
author={Sun, Chong and Wang, Dong and Lu, Huchuan},
journal={IEEE Transactions on Image Processing},
volume={25},
number={8},
pages={3814--3825},
year={2016}
}


Requirements

This code has been developed and tested with Windows 7, Matlab R2012b (64-bit). To compute the optical flow, users need to make sure that OpenCV 2.4.10 is installed.


Usage

Users can directly run "benchmark_function.m" to test the code. In addition, we set the default path for the video sequences in "D:\data_seq", users can edit "benchmark\configSeqs.m" to revise the path and choose the videos that you want to test.


Notice

We write this code without optimization, and several modifications can be added to the code to make it run faster, e.g., we can parallelize the code in the feature extraction and model updating process, which will greatly saves the computation time.


Liscense

Copyright (c) 2016, Chong Sun
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE    
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 
POSSIBILITY OF SUCH DAMAGE.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published