期刊文献+

激光笔交互式输入系统研究与应用 被引量:1

Research and application of laser pen interactive input system
下载PDF
导出
摘要 目前投影仪和大屏幕应用广泛,但传统的基于键盘和鼠标的人机交互将演讲者束缚在计算机旁,不能实现演讲者与听众近距离交流。为解决此问题,提出一种激光笔交互式输入系统。利用CCD摄像头拍摄投影屏幕,通过视频采集卡传送到计算机并进行实时处理,计算出屏幕的坐标,采用Windows API函数实现对屏幕内容的标注等功能。在激光笔投影点坐标提取部分,针对以往背景更新算法无法适应场景光照条件快速变化的问题,提出了自适应背景更新算法。实验结果表明,该系统操纵方便,具有较强的实用性和适应性。 Projectors and large screens are used widely at present.In most cases,the speaker is confined to the side of the computer because the traditional human-computer interactions are realized with keyboard and mouse.To solve this problem,a laser pen interaction input system is presented.Use CCD camera to image the projection screen at first,then transfer the video to computer via capture card and process it real-timely,calculate the screen coordinates and use Windows API functions to mark the screen contents.In the part of laser pen projection point coordinates extraction,it is put forward the adaptive background updates algorithm.Experimental results show that this system has the advantages of convenient operation,strong practicability and wide adaptability.
出处 《激光与红外》 CAS CSCD 北大核心 2011年第11期1282-1286,共5页 Laser & Infrared
关键词 激光笔 CCD 目标检测 自适应背景更新 laser pen CCD camera target detection adaptive background updates
  • 相关文献

参考文献8

  • 1孙振赢,王毅刚,叶乐晓.投影显示中光笔交互技术的研究[J].机电工程,2009,26(6):77-79. 被引量:4
  • 2Kirstein C,Muller H. Interaction with a projection screen using a camera-tracked laserpointer [ C ]. IEEE Computer Society, 1998.
  • 3刘芳,林学訚,史元春.基于激光笔的远程人机交互技术[J].中国图象图形学报(A辑),2003,8(11):1356-1360. 被引量:14
  • 4Olsen D R, Nielsen T. Laser pointer interaction [ C ]// Proceeding of Association for Computing Machinery Com- puter Human Interaction Conference: Human Factors in Computing Systems, Scattle, WA, USA : 2001 : 17 - 22.
  • 5Stauffer C,Grimson W E L. Learning patterns activity u- sing real time transactions pattern and machine tracking [ J ]. IEEE Analysis Intelligence, 2000, 22 ( 8 ) : 747 - 757.
  • 6Christ Ridder, Olaf Munkelt, Harald Kirchner. Adaptive background estimation and foreground detection using kal- man-filtering[ C ]//Proceedings of the Intl Conference on Recent Advances Sinmechatronics, Istanbul, Turkey, 1995 : 193 - 199.
  • 7黄鑫娟,周洁敏,刘伯扬.自适应混合高斯背景模型的运动目标检测方法[J].计算机应用,2010,30(1):71-74. 被引量:45
  • 8S Gupte,O Masound, R F K Martin, et al. Detection and classification of vehicles [ J ]. IEEE Trans. Intell. Trans- port. system,2002,1 ( 3 ) : 37 - 47.

二级参考文献15

  • 1刘洁,张东来.关于自适应高斯混合背景模型的更新算法的研究[J].微计算机信息,2006(08S):241-242. 被引量:23
  • 2王修晖,华炜,鲍虎军.面向多投影显示墙的手势交互系统设计与实现[J].计算机辅助设计与图形学学报,2007,19(3):318-322. 被引量:8
  • 3HALL D, GAL C L, MARTIN J, et al. A contribution to an intelligent office environment [ J]. Robotics and Autonomous Systems, 1999,35 ( 3 - 4 ) : 211 - 220.
  • 4ZHANG Z, WU Y, SHAN Y, et al. Visual Panel: Visual Mouse, Keyboard and 3D Controller with an Ordinary Piece of Paper[ C ]//Proc. ACM Workshop on Perceptive User Interfaces. New York: [s. n. ] ,2001:219 -226.
  • 5KIRSTEIN C, MULLER H. Interaction with a Projection Screen using a Camera-tracked Laser Pointer[ C ]//Multimedia Modeling Proceeding. Switzerland: Lausanne Press, 1998:191 - 192.
  • 6KIRSTEIN C. A System for Human-computer Interaction with a Projection Screen using a Camera-tracked Laser Pointer [ R ]//Dortmund : University of Dortmund, 1998:255 - 256.
  • 7CUCCHIARA R, PICCARDI M, PRATI A. Detecting moving objects, ghosts, and shadows in video streams[ EB/OL]. [ 2009 - 05 - 15]. http://www, cs. utsa. edu/-qitian/seminar/Fall04/video/ 01233909. pdf.
  • 8LOB P L, VELASTIN S A. Automatic congestion detection system for underground platforms[ C]// Proceedings of 2001 International Symposium on Intelligent Multimedia Video and Speech Processing. New York: IEEE, 2001:158 - 161.
  • 9RIDDER C, MUNKELT O, KIRCHNER H. Adaptive background estimation and foreground detection using Kalman-fihering [ EB/ OL]. http://serdis, dis. ulpgc. es/-ii-vpc/MatDocerr/notas_practicas/TC_2/ICRAM-95-Ridder-etal_ps.
  • 10WREN C R, AZARBAYEJANI A, DARRELL A, et al. Pfinder: Real-time tracking of the human body [ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7) : 780 -785.

共引文献59

同被引文献9

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部