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基于视频检测的教室人数统计系统的研发 被引量:1

Research and Development of Classroom Number Statistics System based on Video Detection
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摘要 教室人数统计方法,该方法适用于在教室这个特定场景下使用,将采集视频的摄像头垂直向下拍摄,能够有效地避免人体相互遮挡和重叠,能够将人体目标划分为单独的个体。实验数据表明,该方法计算精度可达90%左右,计算速度可达每秒20帧左右。与现有方法相比,该方法在精度、实时性和健壮性方面都有很大的提高。 Statistical Method of Classroom Number.The method is suitable for the classroom which is the particular scenario.When the video is shooting , use the camera downward vertically, it can effectively avoid human bodies are shaded and overlapped each other. It can divide human targets into individual objects. The experimental data show that the computational accuracy of this method is about 90%, and the computing speed can reach about 20 frames per second. Compared with the existing methods, it has a great improvement in accuracy, real-time and robustness.
作者 龙思凡 金路 王仁捷 LONG Si-fan;JIN Lu;WANG Ren-jie(Jilin University Software institute,Changchun Jilin 130012)
出处 《数字技术与应用》 2019年第5期134-135,共2页 Digital Technology & Application
关键词 人数统计 前景分割 背景差分 运动检测 目标跟踪 people counting foreground extraction background subtraction detection tracking
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  • 1屈建中,张军,鲁墨武.长途客车客流量监测装置[J].测控技术,1994,13(3):23-26. 被引量:4
  • 2[1]Peter G.Furth,James G.Strathman,Brendon Hemily,Making Automatic Passenger Counts Mainstream:Accuracy,Balancing Algorithms,and Data Structures[J].Transportation Research Borad,2004,11.
  • 3[2]Siemens Transit Mastern Automatic Passenger Counters.http://tvansitmaster siermensvdo.com/product% 20sheet/apc.pdfv,2004.
  • 4[5]Dihua Sun,Min Zhao,Automatic Passenger Counting Based on Multi-object Recognition Using Dynamic Images[J].The International Conference on Mechatronics and Information Technology.2005.
  • 5[6]Yan Lu,Wen Ga,Feng Wu.Automatic Video Segmentation Using a Novel Background Model[A].In:Circuits and Systems ISCAS 2002[C],IEEE International Symposium,2002; (3):807-810.
  • 6[7]Cristani,M.Bicego,M.Murino,V.Integrated Region and Pixel-based Approach to Background Modeling[J].Motion and Video Computing Proceedings.2002; 3-8.
  • 7[8]Liyuan Li,Weimin Huang,et al.Statistical Modeling of Complex Backgrounds for Foreground Object Detection[J].IEEE Transactions on Image Processing,2004; 13 (11):1459-1472.
  • 8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
  • 9Bouwmans 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.
  • 10Wojek 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.

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