@inproceedings{dea6643187fb4f8db9e764e7ca563a01,
title = "An algorithm for video monitoring under a slow moving background",
abstract = "In this paper, a video monitoring algorithm under a slow moving background is proposed. An affine transformation model is used to describe the background image movement and two methods are given to find the affine transformation model parameters. The affine transformation is used to check how well two frames can match and subsequently a subtraction operation based on block difference is performed for scene change detection. In order to finalize the detecting result, a series of image processing operations, including adaptive threshold, morphological dilation and erosion operation, and region labeling have to be performed. The several experiments are given to show that the proposed algorithm is efficient.",
keywords = "Affine transformation model, Background matching, Scene change detection, Slow moving background, Video monitoring",
author = "Zheng, {Jiang Bin} and Feng, {David Dagan} and Zhang, {Yan Ning} and Siu, {Wan Chi} and Zhao, {Rong Chun}",
year = "2002",
language = "英语",
isbn = "0780375084",
series = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",
pages = "1626--1629",
booktitle = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",
note = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics ; Conference date: 04-11-2002 Through 05-11-2002",
}