@inproceedings{36d83009605b415490b052c053e8a473,
title = "Parallel tracker for visual object tracking",
abstract = "In this paper, we present a novel tracker for real-time single object tracking by combining Kernelized Correlation Filter (KCF) and Distractor Aware Tracker (DAT). KCF is capable of distinguishing object from background efficiently while DAT is robust for object's appearance and similar distracting reigons. First, we propose a seriesparallel connection structure to make full use of the two trackers's complementary advantages, which aims to locate the object position more accurately. Second, we add a revised scale filter to adapt the scale change. Experiments on OTB-100 demonstrate that our approach is better than both two sub-trackers and can run in real-time.",
keywords = "Correlation Filter, Distroctor Aware, Object Tracking, Scale Filter",
author = "Xiangluan Liang and Ru Lai and Luzheng Bi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th Chinese Control and Decision Conference, CCDC 2018 ; Conference date: 09-06-2018 Through 11-06-2018",
year = "2018",
month = jul,
day = "6",
doi = "10.1109/CCDC.2018.8408122",
language = "English",
series = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5676--5681",
booktitle = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",
address = "United States",
}