Features for stochastic approximation based foreground detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Features for stochastic approximation based foreground detection

Published:2015-04 Issue: Volume:133 Page:30-50
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

López-Rubio Francisco Javier,López-Rubio Ezequiel

Funder

Ministry of Economy and Competitiveness of Spain

Autonomous Government of Andalusia

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference51 articles.

1. Trade-off studies in blackbox optimization;Audet;Optim. Methods Softw.,2012

2. Study on color space selection for detecting cast shadows in video surveillance;Benedek;Int. J. Imaging Syst. Technol.,2007

3. Y. Benezeth, P.-M. Jodoin, B. Emile, H. Laurent, C. Rosenberger, Review and evaluation of commonly-implemented background subtraction algorithms, in: 19th International Conference on Pattern Recognition, December 2008, pp. 1–4.

4. Background modeling using mixture of gaussians for foreground detection – a survey;Bouwmans;Recent Patents Comput. Sci.,2008

5. F. Campbell-West, P. Miller, H. Wang, Independent moving object detection using a colour background model, in: IEEE International Conference on Video and Signal Based Surveillance, 2006 (AVSS ’06), November 2006, pp. 31–31.

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SIM-MFR: Spatial interactions mechanisms based multi-feature representation for background modeling;Journal of Visual Communication and Image Representation;2022-10

2. Spatiotemporal Activity Semantics Understanding Based on Foreground Object Segmentation: iCounter Scenario;IEEE Access;2022

3. Moving Objects Detection in Video by Various Background Modelling Algorithms and Score Fusion;Intelligent Decision Technologies;2022

4. Background subtraction for moving object detection: explorations of recent developments and challenges;The Visual Computer;2021-08-16

5. Foreground detection by ensembles of random polygonal tilings;Expert Systems with Applications;2020-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3