@inproceedings{345dcc7d26694dcf92bd52c95ddbe19c,
title = "Robust Tracking for Motion Blur Based on Correlation Filter",
abstract = "Correlation filter methods show good performance in robustness, accuracy and speed in visual tracking. In this paper, we propose a new algorithm based on Kernelized Correlation Filter (KCF) to effectively improve performance on motion blur. We adopt a simple and effective image deblurring method based on dark channel prior, combined with correlation filter to form a new Deblurring Correlation Filter (DECF) tracking algorithm. Extensive experimental results on OTB2015 show that our tracker demonstrates the excellent accuracy on tracking with motion blur.",
keywords = "correlation filter, dark channel prior, motion blur, visual tracking",
author = "Yu Bai and Tingfa Xu and Ruoling Yang and Xueyuan Sun and Yue Yu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 ; Conference date: 26-04-2019 Through 29-04-2019",
year = "2019",
month = apr,
doi = "10.1109/ICIASE45644.2019.9074062",
language = "English",
series = "Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "309--312",
editor = "Teen-Hang Meen",
booktitle = "Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019",
address = "United States",
}