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Kernel Cross-Correlator (KCC) for Visual Tracking and Pattern Recognition
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README.md

Kernel Cross-Correlator (KCC)

This repo contains source codes for the following paper (PDF available here), which is accepted by AAAI-18:

Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan, Kernel Cross-Correlator, In AAAI Conference on Artificial Intelligence (AAAI-18), pages 4179-4186. Feb. 2018

There are two experiments in the paper, i.e. visual tracking, human activity recognition using wearable devices, which are contained in the independent folders, respectively.

You may find instructions to run the codes for visual tracking:

https://github.com/wang-chen/KCC/blob/master/tracking/README.md

You may find instructions to run the codes for human activity recognition using wearable devices:

https://github.com/wang-chen/KCC/blob/master/recognition/README.md

If you find this repo is useful for your projects, you may cite it as:

@inproceedings{wang2018kernel,
  title={{Kernel Cross-Correlator}},
  author={Wang, Chen and Zhang, Le and Xie, Lihua and Yuan, Junsong},
  booktitle={AAAI Conference on Artificial Intelligence (AAAI-18)},
  year={2018},
  pages= {4179-4186},
  mon=feb
 }

Works or papers using KCC:

Chen Wang *, Tete Ji *, Thien-Minh Nguyen, and Lihua Xie, "Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators", IEEE International Conference on Robotics and Automation (ICRA), May. 2018. (Codes available here)(PDF available here)

Thien-Minh Nguyen, Abdul Hanif Zaini, Chen Wang , Kexin Guo, and Lihua Xie, "Robust Target-relative Localization with Ultra-Wideband Ranging and Communication", IEEE International Conference on Robotics and Automation (ICRA), May. 2018. (Video available here)

Chen Wang, Minh-Chung Hoang, Lihua Xie, and Junsong Yuan, "Non-Iterative RGB-D-inertial Odometry", arXiv preprint arXiv:1710.05502, 2017. (PDF available here)

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