117 lines
4.2 KiB
BibTeX
117 lines
4.2 KiB
BibTeX
@inproceedings{MIL,
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title={Visual tracking with online multiple instance learning},
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author={Babenko, Boris and Yang, Ming-Hsuan and Belongie, Serge},
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booktitle={Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on},
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pages={983--990},
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year={2009},
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organization={IEEE}
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}
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@inproceedings{OLB,
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title={Real-Time Tracking via On-line Boosting.},
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author={Grabner, Helmut and Grabner, Michael and Bischof, Horst},
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booktitle={BMVC},
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volume={1},
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number={5},
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pages={6},
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year={2006}
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}
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@inproceedings{MedianFlow,
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title={Forward-backward error: Automatic detection of tracking failures},
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author={Kalal, Zdenek and Mikolajczyk, Krystian and Matas, Jiri},
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booktitle={Pattern Recognition (ICPR), 2010 20th International Conference on},
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pages={2756--2759},
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year={2010},
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organization={IEEE}
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}
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@article{TLD,
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title={Tracking-learning-detection},
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author={Kalal, Zdenek and Mikolajczyk, Krystian and Matas, Jiri},
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journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
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volume={34},
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number={7},
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pages={1409--1422},
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year={2012},
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publisher={IEEE}
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}
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@article{AAM,
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title={Adaptive appearance modeling for video tracking: survey and evaluation},
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author={Salti, Samuele and Cavallaro, Andrea and Di Stefano, Luigi},
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journal={Image Processing, IEEE Transactions on},
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volume={21},
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number={10},
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pages={4334--4348},
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year={2012},
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publisher={IEEE}
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}
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@article{AMVOT,
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title={A survey of appearance models in visual object tracking},
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author={Li, Xi and Hu, Weiming and Shen, Chunhua and Zhang, Zhongfei and Dick, Anthony and Hengel, Anton Van Den},
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journal={ACM Transactions on Intelligent Systems and Technology (TIST)},
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volume={4},
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number={4},
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pages={58},
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year={2013},
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publisher={ACM}
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}
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@inproceedings{OOT,
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title={Online object tracking: A benchmark},
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author={Wu, Yi and Lim, Jongwoo and Yang, Ming-Hsuan},
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booktitle={Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on},
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pages={2411--2418},
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year={2013},
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organization={IEEE}
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}
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@article{KCF,
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title = {High-Speed Tracking with Kernelized Correlation Filters},
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journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
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author = {Henriques, J. F. and Caseiro, R. and Martins, P. and Batista, J.},
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year = {2015},
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doi = {10.1109/TPAMI.2014.2345390},
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}
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@inproceedings{KCF_ECCV,
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title = {Exploiting the Circulant Structure of Tracking-by-detection with Kernels},
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author = {Henriques, J. F. and Caseiro, R. and Martins, P. and Batista, J.},
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booktitle = {proceedings of the European Conference on Computer Vision},
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year = {2012},
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}
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@INPROCEEDINGS{KCF_CN,
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author={Danelljan, M. and Khan, F.S. and Felsberg, M. and van de Weijer, J.},
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booktitle={Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},
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title={Adaptive Color Attributes for Real-Time Visual Tracking},
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year={2014},
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month={June},
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pages={1090-1097},
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keywords={computer vision;feature extraction;image colour analysis;image representation;image sequences;adaptive color attributes;benchmark color sequences;color features;color representations;computer vision;image description;real-time visual tracking;tracking-by-detection framework;Color;Computational modeling;Covariance matrices;Image color analysis;Kernel;Target tracking;Visualization;Adaptive Dimensionality Reduction;Appearance Model;Color Features;Visual Tracking},
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doi={10.1109/CVPR.2014.143},
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}
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@inproceedings{GOTURN,
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title={Learning to Track at 100 FPS with Deep Regression Networks},
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author={Held, David and Thrun, Sebastian and Savarese, Silvio},
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booktitle = {European Conference Computer Vision (ECCV)},
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year = {2016}
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}
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@inproceedings{MOSSE,
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title={Visual Object Tracking using Adaptive Correlation Filters},
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author={Bolme, David S. and Beveridge, J. Ross and Draper, Bruce A. and Lui Yui, Man},
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booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
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year = {2010}
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}
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@Article{Lukezic_IJCV2018,
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author={Luke{\v{z}}i{\v{c}}, Alan and Voj{'i}{\v{r}}, Tom{'a}{\v{s}} and {\v{C}}ehovin Zajc, Luka and Matas, Ji{\v{r}}{'i} and Kristan, Matej},
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title={Discriminative Correlation Filter Tracker with Channel and Spatial Reliability},
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journal={International Journal of Computer Vision},
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year={2018},
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}
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