Code for Real-time 'Actor-Critic' tracking accepted by ECCV 2018

We propose a novel tracking algorithm with real-time performance based on the ‘Actor-Critic’ framework.
Results on OTB100

1. Tensorflow 1.4.0 (Train) and Pytorch 0.3.0 (Test)
2. CUDA 8.0 and cuDNN 6.0
3. Python 2.7

1. Please download the ILSVRC VID dataset, and put the VID folder into $(ACT_root)/train/
   (We adopt the same videos as meta_trackers. You can find more details in ilsvrc_train.json.)
2. Run the $(ACT_root)/train/DDPG_train.py to train the 'Actor and Critic' network.

Please run $(ACT_root)/tracking/run_tracker.py for demo.

If you find ACT useful in your research, please kindly cite our paper:

@InProceedings{Chen_2018_ECCV,
author = {Chen, Boyu and Wang, Dong and Li, Peixia and Wang, Shuang and Lu, Huchuan},
title = {Real-time 'Actor-Critic' Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}

If you have any questions, please feel free to contact bychen@mail.dlut.edu.cn

Many parts of this code are adopted from other related works (py-MDNet and meta_trackers)