WisenetMD: Motion Detection Using Dynamic Background Region Analysis
Computer Vision and Pattern Recognition
2018-05-24 v1
Abstract
Motion detection algorithms that can be applied to surveillance cameras such as CCTV (Closed Circuit Television) have been studied extensively. Motion detection algorithm is mostly based on background subtraction. One main issue in this technique is that false positives of dynamic backgrounds such as wind shaking trees and flowing rivers might occur. In this paper, we proposed a method to search for dynamic background region by analyzing the video and removing false positives by re-checking false positives. The proposed method was evaluated based on CDnet 2012/2014 dataset obtained at "changedetection.net" site. We also compared its processing speed with other algorithms.
Keywords
Cite
@article{arxiv.1805.09277,
title = {WisenetMD: Motion Detection Using Dynamic Background Region Analysis},
author = {Sang-Ha Lee and Soon-Chul Kwon and Jin-Wook Shim and Jeong-Eun Lim and Jisang Yoo},
journal= {arXiv preprint arXiv:1805.09277},
year = {2018}
}
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8 pages