@inproceedings{e8e1a41ce1c548a9abdef195e2ddeab8,
title = "An object tracking algorithm with embedded gyro information",
abstract = "The high speed attitude maneuver of Unmanned Aerial Vehicle (UAV) always causes large motion between adjacent frames of the video stream produced from the camera fixed on the UAV body, which will severely disrupt the performance of image object tracking process. To solve this problem, this paper proposes a method that using a gyroscope fixed on the camera to measure the angular velocity of camera, and then the object position's substantial change in the video stream is predicted. We accomplished the object tracking based on template matching. Experimental result shows that the object tracking algorithm's performance is improved in its efficiency and robustness with embedded gyroscope information.",
keywords = "Gyroscope, Image object tracking, Motion prediction, Template matching",
author = "Yutong Zhang and Ding Yan and Yating Yuan",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 7th International Conference on Electronics and Information Engineering, ICEIE 2016 ; Conference date: 17-09-2016 Through 18-09-2016",
year = "2017",
doi = "10.1117/12.2266010",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xiyuan Chen",
booktitle = "Seventh International Conference on Electronics and Information Engineering",
address = "United States",
}