DI input for algorithm is generated by di_gen.py. The network traing is based on our previous project SC2Net.
If you feel this project helpful to your research, please cite the following paper
@paper{AAAI1816822,
author = {Joey Tianyi Zhou and Kai Di and Jiawei Du and Xi Peng and Hao Yang and Sinno Jialin Pan and Ivor Tsang and Yong Liu and Zheng Qin and Rick Siow Mong Goh},
title = {SC2Net: Sparse LSTMs for Sparse Coding},
conference = {AAAI Conference on Artificial Intelligence},
year = {2018},
keywords = {sparse representation; LSTM; RNN; model-based optimization},
url = {https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16822}
}
}
@ARTICLE{8649753,
author = {Joey Tianyi Zhou and Jiawei Du and Hongyuan Zhu and Xi Peng and Yong Liu and Rick Siow Mong Goh},
journal={IEEE Transactions on Information Forensics and Security},
title={AnomalyNet: An Anomaly Detection Network for Video Surveillance},
year={2019},
volume={14},
number={10},
pages={2537-2550},
doi={10.1109/TIFS.2019.2900907},
ISSN={1556-6013},
month={Oct},}
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