期刊文献+

基于背景减法的目标检测在Matlab中的实现方法 被引量:6

Realization method of target detection based on background subtraction in Matlab
原文传递
导出
摘要 目标检测是视频图像跟踪识别系统中的一个重要环节,介绍基于背景减法进行运动目标检测的原理,研究了其在Matlab环境下的实现方法,给出处理流程,并结合车辆和行人实例进行实现和分析. Target Detection is an important part of video tracking and identification system.The paper introduced the principles of Background Subtraction for the Moving Target Detection.And studied the realization methods in the Matlab environment,the Data-processing flow chart,last,do experiment and realization combined with vehicles and people examples images.
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第S2期59-61,共3页 Journal of Yunnan University(Natural Sciences Edition)
关键词 背景减法 目标检测 MATLAB background subtraction target detection Matlab
  • 相关文献

参考文献3

二级参考文献140

  • 1[25]Kohle M, Merkl D, Kastner J. Clinical gait analysis by neural networks: Issues and experiences. In: Proc IEEE Symposium on Computer-Based Medical Systems, Maribor, Slovenia, 1997. 138-143
  • 2[26]Meyer D, Denzler J, Niemann H. Model based extraction of articulated objects in image sequences for gait analysis. In: Proc IEEE International Conference on Image Processing, Santa Barbara, California 1997. 78-81
  • 3[27]McKenna S et al. Tracking groups of people. Computer Vision and Image Understanding, 2000, 80(1):42-56
  • 4[28]Karmann K, Brandt A. Moving object recognition using an adaptive background memory. In: Cappellini V ed. Time-varying Image Processing and Moving Object Recognition. 2. Elsevier, Amsterdam, The Netherlands, 1990
  • 5[29]Kilger M. A shadow handler in a video-based real-time traffic monitoring system. In: Proc IEEE Workshop on Applications of Computer Vision, Palm Springs, CA, 1992.1060-1066
  • 6[30]Stauffer C, Grimson W. Adaptive background mixture models for real-time tracking. In: Proc IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, 1999, 2:246-252
  • 7[31]Wren C, Azarbayejani A, Darrell T, Pentland A. Pfinder: Real-time tracking of the human body. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(7):780-785
  • 8[32]Arseneau S, Cooperstock J. Real-time image segmentation for action recognition. In: Proc IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, Canada, 1999. 86-89
  • 9[33]Sun H, Feng T, Tan T. Robust extraction of moving objects from image sequences. In: Proc the Fourth Asian Conference on Computer Vision, Taiwan, 2000.961-964
  • 10[34]Lipton A, Fujiyoshi H, Patil R. Moving target classification and tracking from real-time video. In: Proc IEEE Workshop on Applications of Computer Vision, Princeton, NJ, 1998. 8-14

共引文献375

同被引文献29

引证文献6

二级引证文献12

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