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Robust fusion of colour and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints

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STCtracker (a RGBDtracker)

Robust fusion of colour and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints

Citation

If you find the code and dataset useful in your research, please consider citing:

@article{RGBDTracking2017Xiao,
  title={Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints.},
  author={Xiao, Jingjing and Stolkin, Rustam and Gao, Yuqing and Leonardis, Ale\v{s}},
  journal={IEEE Transactions on Cybernetics},
  number={99},
  pages={1-15},
  year={2017},
}

Download: Dataset, Results

Note that the code was tested in Matlab 2014a. If you use a different Matlab version, you might get different results.

License

This software is being made available for research purpose only.

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Robust fusion of colour and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints

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  • MATLAB 57.4%
  • C++ 34.9%
  • C 7.3%
  • M 0.4%