@inproceedings{31fa57c836ef41e089b189956786dda2,
title = "An ellipse feature tracking method based on the Kalman filter",
abstract = "In this paper, a method of ellipse feature tracking based on the Kalman filter is proposed. In the application of the video analysis, this method can predict the results of the next frame, eliminate the false detection of the ellipse, and estimate ellipse parameters using prediction results and ellipse detection results. Through computer simulation experiments and semi physical simulation experiments, it is proved that the ellipse parameter accuracy is further improved compared with the single frame ellipse detection algorithm, and the method does not affect the ellipse detection in real time.",
keywords = "Kalman filter, ellipse detection, ellipse tracking",
author = "Cai Meng and Zhan Hu and Hongchao Sun",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Congress on Image and Signal Processing, CISP 2015 ; Conference date: 14-10-2015 Through 16-10-2015",
year = "2016",
month = feb,
day = "16",
doi = "10.1109/CISP.2015.7408002",
language = "英语",
series = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "882--887",
editor = "Lipo Wang and Sen Lin and Zhiyong Tao and Bing Zeng and Xiaowei Hui and Liangshan Shao and Jie Liang",
booktitle = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",
address = "美国",
}