ML Anthology

Continuously Tracking and See-Through Occlusion Based on a New Hybrid Synthetic Aperture Imaging Model

Tao Yang, Yanning Zhang, Xiaomin Tong, Xiaoqiang Zhang, Rui Yu
CVPR 2011 pp. 3409-3416
doi:10.1109/CVPR.2011.5995417 /cvpr/2011/yang2011cvpr-continuously/
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Cite

Text

Yang et al. "Continuously Tracking and See-Through Occlusion Based on a New Hybrid Synthetic Aperture Imaging Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995417

Markdown

[Yang et al. "Continuously Tracking and See-Through Occlusion Based on a New Hybrid Synthetic Aperture Imaging Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/yang2011cvpr-continuously/) doi:10.1109/CVPR.2011.5995417

BibTeX

@inproceedings{yang2011cvpr-continuously,
  title     = {{Continuously Tracking and See-Through Occlusion Based on a New Hybrid Synthetic Aperture Imaging Model}},
  author    = {Yang, Tao and Zhang, Yanning and Tong, Xiaomin and Zhang, Xiaoqiang and Yu, Rui},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2011},
  pages     = {3409-3416},
  doi       = {10.1109/CVPR.2011.5995417},
  url       = {https://mlanthology.org/cvpr/2011/yang2011cvpr-continuously/}
}