期刊文献+

多通道嵌入式高速图像采集存储系统的研究 被引量:21

Study of multi-channel high-speed embedded image capture and storage system
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摘要 实时图像采集存储设备作为视觉处理系统中最前端的组成部分,其性能在很大程度上决定了后续任务的难易程度。随着近年来图像传感器分辨率的提高和摄像机阵列结构的广泛采用,图像采集存储系统性能也在向高速高分辨率方向发展。采用FPGA阵列协同处理,设计了并行多SD卡控制结构,实现了一种多通道模块化的嵌入式高速实时图像采集存储系统,能够对单通道速率达660 Mb/s的图像数据流进行多通道实时数据采集和存储操作,进而为使用多摄像机阵列结构设计的应用和研究提供了有效的平台保障。 Real-time image capture and storage device,as the headmost part of vision processing system,determines the resultant quality of the following tasks,such as target tracking,image segmentation,and etc.Recently,the resolution of image sensors has been increased rapidly and the structure of camera array has been adopted in many wide field-of-view applications,and image capture and storage system is developing along the direction of high-speed and high-resolution.In this paper a parallel multi-SD card control structure with FPGA array is designed to implement a modular multi-channel embedded high-speed real-time image capture and storage system,which can process single channel image data stream up to 660Mb/s with real-time data capture and storage capability.The proposed new system provides an efficient platform for camera array system applications and researches.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2011年第11期2543-2548,共6页 Chinese Journal of Scientific Instrument
基金 教育部"985"二期项目(3040012040101)资助
关键词 图像采集 图像存储 FPGA阵列 image capture image storage FPGA array
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  • 1YOOYOUNG L, JONATHON P, ROSS J M. An automa- ted video-based system for iris recognition [ C ]. Proceed- ings of the Third International Conference on Advances in Biometrics, 2009.
  • 2苑玮琦,赵彦明,张志佳.基于纹理分布特征的虹膜识别算法[J].仪器仪表学报,2010,31(2):365-370. 被引量:13
  • 3SAVAKIS A, ERHARD M, SCHIMMEL J, et al. A multi-camera system for real-time pose estimation [ C ]. Intelligent Computing: Theory and Applications V, Pro-ceedings of the SPIE, 2007.
  • 4JUNYI Z, CHUNHUI Z, YONGMEI C, et al. Particle filter based visual tracking using new observation model [ C ]. Proceedings of the IEEE International Conference on Automation and Logistics, 2007.
  • 5NARAYANAN P J, RANDER P W, KANADE T. Con- structing virtual worlds using dense stereo, computer vi- sion[ C]. Sixth Intemational Conference on Bombay, In- dia, 1998.
  • 6SHIGEYUKI B, HIDEO S, SUNDAR V, et al. Appear- ance-based virtual-view generation for fly through in a real dynamic scene[C]. Joint Eurographics--IEEE TCVG Symposium on Visualization, 2000.
  • 7PETER S. A method for 3D reconstruction of piecewise planar objects from single panoramic images [ C ]. Pro- ceedings IEEE Workshop on Omni-directional Vision, USA. 2000.
  • 8SHIH-SCHON L, RUZENA B. High resolution cata- dioptric omni-directional stereo sensor for robot vision [ C ]. IEEE International Conference on Robotics and Au- tomation, Taipei, Taiwan, 2003.
  • 9BAKER P T, ALOIMONOS Y. Complete calibration of a multi-camera network [ C ]. Proceedings IEEE Workshop on Omni-directional Vision, USA, 2000.
  • 10CHRISTOPH F, CHRISTIAN W, INGO F, et al. Crea- tion of high-resolution video panoramas of sport events [ C ]. Proceedings of the Eighth IEEE International Sym- posium on Multimedia, 2006.

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