Attentional Correlation Filter Network for Adaptive Visual Tracking
Jongwon Choi, 2017
https://sites.google.com/site/jwchoivision/home/acfn-1
When you use this code for your research, please refer the below reference.
You can't use this code for any commercial purpose without author's agreement.
If you have any question or comment, please contact to jwchoi.pil@gmail.com.
Python & matlab code for attentional correlation filter network
Attentional network : Attentional_Network_final.ipynb
Correlation filter network ; ACFN_final/demo.m
Two codes are communicated by socket communication.
(Default port = 50005)
Running environment:
Linux Ubuntu 14.04.5 LTS
ipython 5.1.0
tensorflow 0.10.0rc0
CUDA Release 8.0, V8.0.26
MATLAB 2015b
Reference
[1] Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi, "Attentional Correlation Filter Network for Adaptive Visual Tracking", CVPR2017
[2] Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi, "Visual Tracking Using Attention-Modulated Disintegration and Integration", CVPR2016
How to run the code:
1. Run 'ACFN_final/demo.m'
2. Run 'Attentional_Network_final.ipynb'
Q&A 1. Port connection problem
Change the default port number from 50005 to other numbers (such as 50006, 50007) in both matlab code and python code.
-written: 20170505 Jongwon Choi