期刊
PATTERN RECOGNITION LETTERS
卷 24, 期 14, 页码 2345-2356出版社
ELSEVIER
DOI: 10.1016/S0167-8655(03)00060-6
关键词
threshold selection; surveillance; change detection; performance evaluation; ground truth
The objective of this paper is to develop an approach for efficiently and quantitatively evaluating thresholding algorithms for change detection in a surveillance environment. Previous evaluation in the literature has either been subjective or small scale, in part due to the difficulties and/or the time and effort involved in determining appropriate ground truth. In comparison, our automated approach enables us to carry out a more thorough evaluation, and we test the performance of eight different thresholding algorithms using more than 4000 images with two different texture environments. (C) 2003 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据