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

Bing Liu 0019, Qiao Liu, Taiping Zhang, Yong Yang. MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model. Neurocomputing, 362:175-194, 2019. [doi]

@article{LiuLZY19-1,
  title = {MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model},
  author = {Bing Liu 0019 and Qiao Liu and Taiping Zhang and Yong Yang},
  year = {2019},
  doi = {10.1016/j.neucom.2019.07.024},
  url = {https://doi.org/10.1016/j.neucom.2019.07.024},
  researchr = {https://researchr.org/publication/LiuLZY19-1},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {362},
  pages = {175-194},
}