MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model

Start

1. Download the resnet mat file using the link.

http://www.vlfeat.org/matconvnet/models/imagenet-resnet-50-dag.mat http://www.vlfeat.org/matconvnet/models/imagenet-resnet-101-dag.mat

2. Download Matconvnet using the link and Compile yourself using Matlab.

https://github.com/binger1225/matconvnet

More information about Matconvnet can be found at http://www.vlfeat.org/matconvnet/install/

3. Run 'demo.m'. to test the demo sequences.

Citation

If you find the code helpful in your research, please consider citing:

@article{LIU2019,
	author = {Bing Liu and Qiao Liu and Taiping Zhang and Yong Yang},
	title = {MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model},
	journal = {Neurocomputing},
	year = {2019},
	issn = {0925-2312},
	doi = {https://doi.org/10.1016/j.neucom.2019.07.024},
	url = {http://www.sciencedirect.com/science/article/pii/S0925231219309646}
}