129 lines
4.2 KiB
BibTeX
129 lines
4.2 KiB
BibTeX
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@article{Bradski00,
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title={Motion segmentation and pose recognition with motion history gradients},
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author={Bradski, Gary R and Davis, James W},
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journal={Machine Vision and Applications},
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volume={13},
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number={3},
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pages={174--184},
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year={2002},
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publisher={Springer}
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}
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@inproceedings{Davis97,
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title={The representation and recognition of human movement using temporal templates},
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author={Davis, James W and Bobick, Aaron F},
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booktitle={Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on},
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pages={928--934},
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year={1997},
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organization={IEEE}
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}
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@inproceedings{Tao2012,
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title={SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm},
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author={Tao, Michael and Bai, Jiamin and Kohli, Pushmeet and Paris, Sylvain},
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booktitle={Computer Graphics Forum},
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volume={31},
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number={2pt1},
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pages={345--353},
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year={2012},
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organization={Wiley Online Library}
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}
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@inproceedings{Weinzaepfel2013,
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title={DeepFlow: Large displacement optical flow with deep matching},
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author={Weinzaepfel, Philippe and Revaud, Jerome and Harchaoui, Zaid and Schmid, Cordelia},
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booktitle={Computer Vision (ICCV), 2013 IEEE International Conference on},
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pages={1385--1392},
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year={2013},
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organization={IEEE}
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}
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@inproceedings{Brox2004,
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title={High accuracy optical flow estimation based on a theory for warping},
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author={Brox, Thomas and Bruhn, Andr{\'e}s and Papenberg, Nils and Weickert, Joachim},
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booktitle={European Conference on Computer Vision (ECCV)},
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pages={25--36},
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year={2004}
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}
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@inproceedings{Wulff:CVPR:2015,
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title = {Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers},
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author = {Wulff, Jonas and Black, Michael J.},
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booktitle = { IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2015},
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month = {June},
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year = {2015}
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}
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@inproceedings{Wang_2016_CVPR,
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author = {Wang, Shenlong and Ryan Fanello, Sean and Rhemann, Christoph and Izadi, Shahram and Kohli, Pushmeet},
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title = {The Global Patch Collider},
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booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2016}
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}
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@inproceedings{Geistert2016,
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author = {Jonas Geistert and Tobias Senst and Thomas Sikora},
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title = {Robust Local Optical Flow: Dense Motion Vector Field Interpolation},
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booktitle = {Picture Coding Symposium},
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year = {2016},
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pages = {1--5},
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}
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@inproceedings{Senst2016,
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author = {Tobias Senst and Jonas Geistert and Thomas Sikora},
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title = {Robust local optical flow: Long-range motions and varying illuminations},
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booktitle = {IEEE International Conference on Image Processing},
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year = {2016},
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pages = {4478--4482},
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}
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@inproceedings{Senst2014,
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author = {Tobias Senst and Thilo Borgmann and Ivo Keller and Thomas Sikora},
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title = {Cross based Robust Local Optical Flow},
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booktitle = {21th IEEE International Conference on Image Processing},
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year = {2014},
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pages = {1967--1971},
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}
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@inproceedings{Senst2013,
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author = {Tobias Senst and Jonas Geistert and Ivo Keller and Thomas Sikora},
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title = {Robust Local Optical Flow Estimation using Bilinear Equations for Sparse Motion Estimation},
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booktitle = {20th IEEE International Conference on Image Processing},
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year = {2013},
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pages = {2499--2503},
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}
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@article{Senst2012,
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author = {Tobias Senst and Volker Eiselein and Thomas Sikora},
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title = {Robust Local Optical Flow for Feature Tracking},
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journal = {IEEE Transactions on Circuits and Systems for Video Technology},
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year = {2012},
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pages = {1377--1387},
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volume = {22},
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number = {9},
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}
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@phdthesis{Senst2019,
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title={Estimation and analysis of motion in video data},
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author={Senst, Tobias},
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year={2019},
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school={Technical Univerity Berlin},
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doi = {10.14279/depositonce-9085},
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url = {https://doi.org/10.14279/depositonce-9085}
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}
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@article{Tibshirani2008,
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title={Fast computation of the median by successive binning},
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author={Tibshirani, Ryan J},
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journal={arXiv preprint arXiv:0806.3301},
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year={2008}
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}
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@inproceedings{Hu2017,
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title={Robust interpolation of correspondences for large displacement optical flow},
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author={Hu, Yinlin and Li, Yunsong and Song, Rui},
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booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
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pages={481--489},
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year={2017}
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}
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