opencv/modules/video/doc/video.bib
Wanli d231b4e362
Merge pull request #25503 from WanliZhong:remove_goturn
Remove goturn caffe model #25503

**Merged with:** https://github.com/opencv/opencv_extra/pull/1174
**Merged with:** https://github.com/opencv/opencv_contrib/pull/3729

Part of https://github.com/opencv/opencv/issues/25314

This PR aims to remove goturn tracking model because Caffe importer will be remove in 5.0

The GOTURN model will take **388 MB** of traffic for each download if converted to onnx. If the user wants to use the tracking method, we can recommend they use Vit or dasimRPN.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-06 11:57:30 +03:00

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BibTeX

@article{AAM,
title={Adaptive appearance modeling for video tracking: survey and evaluation},
author={Salti, Samuele and Cavallaro, Andrea and Di Stefano, Luigi},
journal={Image Processing, IEEE Transactions on},
volume={21},
number={10},
pages={4334--4348},
year={2012},
publisher={IEEE}
}
@article{AMVOT,
title={A survey of appearance models in visual object tracking},
author={Li, Xi and Hu, Weiming and Shen, Chunhua and Zhang, Zhongfei and Dick, Anthony and Hengel, Anton Van Den},
journal={ACM Transactions on Intelligent Systems and Technology (TIST)},
volume={4},
number={4},
pages={58},
year={2013},
publisher={ACM}
}
@inproceedings{Kroeger2016,
author={Till Kroeger and Radu Timofte and Dengxin Dai and Luc Van Gool},
title={Fast Optical Flow using Dense Inverse Search},
booktitle={Proceedings of the European Conference on Computer Vision ({ECCV})},
year={2016}
}
@inproceedings{MIL,
title={Visual tracking with online multiple instance learning},
author={Babenko, Boris and Yang, Ming-Hsuan and Belongie, Serge},
booktitle={Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on},
pages={983--990},
year={2009},
organization={IEEE}
}