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背景减除法在移动对象信息提取中的应用研究 被引量:3

Research on background substraction in moving target information extraction
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摘要 在计算机视觉系统中,背景减除算法在移动对象的信息提取中应用广泛.对基于背景减除法的背景建模,本文在分析视频帧、区域和像素为基础的3种方法优缺点的基础上,选取混合高斯方法作为背景建模方式.设计了具体建模流程,最终实现运动目标的检测研究.运行结果表明本文所提方法的可行性. In computer vision system,background substraction algorithm is widely used in information extraction of mobile objects.Several common methods of video monitoring were introduced in this paper.In the background modeling of background subtraction method,the advantages and disadvantages of three methods,which are based on video frame,area and pixel are analyzed.Mixed Gaussian methods are used in background modeling,and the detection of moving objects are realized.Results show the feasibility of the proposed method.
作者 戴航 郭秀娟 DAI Hang;GUO Xiu-juan(School of electricity and computer,Jilin Jianzhu university,Changchun 130118,China)
出处 《吉林建筑大学学报》 2020年第4期81-84,共4页 Journal of Jilin Jianzhu University
基金 国家应急管理部安全事故防治科技基金资助项目(jilin-0032-2018AQ).
关键词 背景建模 视频监控 混合高斯方法 background modeling video monitoring mix Gaussian method
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  • 1王素玉,沈兰荪.智能视觉监控技术研究进展[J].中国图象图形学报,2007,12(9):1505-1514. 被引量:82
  • 2Bouwmans T, El Baf F, Vachon B. Background modeling using mixture of Gaussians for foreground detection: A survey. Recent Patents on Computer Science, 2008, 1(3) 219-237.
  • 3Wojek C, Dollar P, Schiele B, Perona P. Pedestrian detection: An evaluation o{ the state o{ the art. IEEE Pattern Analysis and Machine Intelligence, 2012, 34(4): 743-761.
  • 4Yilmaz A, Javed O, Shah M. Object trackingt A survey. ACM Computing Surveys (CSUR), 2006, 38(4) 1-29.
  • 5Wang X. Intelligent multi-camera video surveillance: A review. Pattern Recognition Letters, 2012, 34 (1) : 3-19.
  • 6Wu Y, Lira J, Yang M H. Online object tracking: A bench- mark//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition. Portland, USA, 2013 2411-2418.
  • 7Andreopoulos A, Tsotsos J K. 50 years of object recognition: Directions forward. Computer Vision and Image Understanding, 2013, 117(8) 827-891.
  • 8Zhang X, Yang Y H, Han Z, et al. Object class detection: A survey. Association for Computing Machinery Computing Surveys (CSUR), 2013, 46(1) : 1311-1325.
  • 9Morris B T, Trivedi M M. A survey of vision-based trajectory learning and analysis for surveillance. IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18(8): 1114-1127.
  • 10Aggarwal J K, Ryoo M S. Human activity analysis: A review. ACM Computing Surveys, 2011, 43(3): 16.

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