Please check our neweast implementation in https://github.com/shenjianbing/videoseg15.

Implementation code for cvpr 2015:
[1] W. Wang, J. Shen, F. Porikli, Saliency-aware geodesic video object segmentation, 
IEEE CVPR, pp. 3395-3402, 2015
[2] W. Wang, J. Shen, R. Yang, and F. Porikli, Saliency-aware Video Object Segmentation, 
IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(1):20-33, 2018, 2018
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Any comments, please email: wenguanwang.china@gmail.com
                            shenjianbing@bit.edu.cn

This software was developed under 32-bit/64-bit Windows 
with Matlab R2009b/R2011b/R2012b/R2013a.

If you use this software for academic research, please cite the following paper:

[1] W. Wang, J. Shen, F. Porikli, Saliency-aware geodesic video object segmentation, 
IEEE CVPR, pp. 3395-3402, 2015

[2] W. Wang, J. Shen, R. Yang, and F. Porikli, Saliency-aware Video Object Segmentation, 
IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(1):20-33, 2018, 2018  

The saliency demo code (computeSaliency.m) produces slightly different results 
to those reported in the paper [1]. This is due to changes in the parameters and 
the final saliency results are stored in data/outputs/(videoname)/final_saliency.
Saliency results stored in the folder 'intra-frame_saliency' and 'inter-frame saliency'
are generated by our intra-frame graph and inter-frame graph respectively.