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Open Source Computer Vision Library
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44 lines
1.4 KiB
44 lines
1.4 KiB
@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{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{Kroeger2016, |
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author={Till Kroeger and Radu Timofte and Dengxin Dai and Luc Van Gool}, |
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title={Fast Optical Flow using Dense Inverse Search}, |
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booktitle={Proceedings of the European Conference on Computer Vision ({ECCV})}, |
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year={2016} |
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} |
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@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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