@inproceedings{e5b295bc30d64692be2321bd4b6ae020,
title = "A two-stage object tracking method based on Curvelet transform and mean shift algorithm",
abstract = "Traditional mean shift tracking algorithm couldn't track moving objects in cross-scale domain. In this paper, we propose a new two-stage object tracking method combined Curvelet Transform and mean shift algorithm. Our proposed method extracts image features using Curvelet transform, and calculates object location by cross-scale mean shift algorithm. The experimental results demonstrate that the proposed algorithm can effectively track moving objects. Compared with traditional mean shift algorithm, tracking accuracy has been significantly improved.",
keywords = "Curvelet transform, mean shift, object tracking, translation Invariant",
author = "Pengcheng Han and Junping Du and Qingping Li and Ming Fang and Yuehua Yang and Yingmin Jia",
year = "2013",
doi = "10.1109/ISIE.2013.6563626",
language = "英语",
isbn = "9781467351942",
series = "IEEE International Symposium on Industrial Electronics",
booktitle = "2013 IEEE International Symposium on Industrial Electronics, ISIE 2013",
note = "2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013 ; Conference date: 28-05-2013 Through 31-05-2013",
}