期刊文献+

基于DSP-FPGA的嵌入式篮球运动视频目标跟踪算法实现 被引量:4

Embedded Basketball Motion Video Target Tracking Algorithm Based on DSP-FPGA
在线阅读 下载PDF
导出
摘要 针对篮球比赛中的运动目标跟踪问题,提出了一种基于DSP和FPGA的嵌入式篮球运动视频目标跟踪算法,将Mean-Shift算法用于跟踪篮球运动视频目标,并给出了DSP-FPGA的硬件设计.该方法先建立一个包含运动目标的搜索窗,并初始化其位置和大小,进一步计算搜索窗的色彩直方图.然后,输入待搜索图像,运行Mean-Shift,获得新的搜索窗位置和大小;最后,基于Mean-Shift算法迭代,获得运动目标的新位置.FPGA方便电路设计,DSP则运行目标跟踪算法.实验证明,提出的方法在激烈的比赛中依然能够准确跟踪运动目标. Aiming at the problem of moving target tracking in basketball game,an embedded basketball video target tracking method based on DSP and FPGA is proposed.The Mean-Shift algorithm is used to track basketball video targets,and the DSP-FPGA hardware is designed.The method first establishes a search window containing moving objects,and initializes its position and size to further calculate the color histogram of the search window.Then enter the image to be searched,run Mean-Shift to obtain the new search window position and size.Finally,iterate based on the Mean-Shift algorithm to obtain the new position of the moving target.FPGA facilitates circuit design,and DSP runs target tracking algorithms.Experiments show that the proposed method can still accurately track moving targets in a fierce competition.
作者 杨彬 王同喜 YANG Bin;WANG Tong-xi(School of Physical Education,Yangtze University,Jinzhou 434020;School of Computer Science,Yangtze University,Jinzhou 434020 China)
出处 《湘潭大学学报(自然科学版)》 CAS 2018年第6期104-108,共5页 Journal of Xiangtan University(Natural Science Edition)
基金 国家监管中心科研项目(2011235)
关键词 FPGA DSP 目标跟踪 MEAN-SHIFT算法 嵌入式 视频数据 FPGA DSP target tracking Mean-Shift algorithm embedded video data
作者简介 通信作者:王同喜(1971—),男,湖北黄冈人,副教授.E-mail:qqaz891@163.com.
  • 相关文献

参考文献5

二级参考文献42

  • 1王冰,职秦川,张仲选,耿国华,周明全.灰度图像质心快速算法[J].计算机辅助设计与图形学学报,2004,16(10):1360-1365. 被引量:32
  • 2Liu Meng,Wu Cheng-dong,Zhang Yun-zhou,et al.A review of traffic visual tracking technology[C]//2008 Intermation Conference on Audio,Language and Image Processing.2007:1015-1020.
  • 3Ariyur K,Fregene K.Autonomous tracking of a ground vehicle by a UAV[C]//ACC.2008:669-671.
  • 4Sivakumar R,Zu W K,Raja S.Vision-Based following of structures using an unmanned aerial vehicle[R].USA:UCB-ITS-RR-2006-1,2006.
  • 5Li Zhe-yuan,Liu Hong,Xu Chao,et al.Real-time human tracking based on switching linear dynamic system combined with adaptive Meanshift tracker[C]//2011 18th IEEE International Conference on Image Processing.2011:2329-2332.
  • 6Tian Gang,Hu Rui-min,Wang Zhong-yuan,et al.Object tracking algorithm based on Mesnshift algorithm combining with motion vector analysis[C]//2009 First Iternational Workshop on Education Technology and Computer Science(ETCS).vol.1,2009:985-988.
  • 7LI Yi-bo,Shen Xiao-ling,Bei Shan-shan,et al.Real-time tracking method for moving target based on an improved CamShift algorithm[C]//2011 International Conference on Meeh atronic Science,Electric Engineering and Computer.vol.1,2011:978-981.
  • 8Hnang Yi-hu,Wang Jin-li,Jia Xi-mei,et al.Research of soccer robot target tracking algorithm based on improved CamShift[C]//Advanced Polymer Science and Engineering.Advanced Materials Research,Vol.221,2011:610-614.
  • 9Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
  • 10Fischler M A,Bolles R C.Random sample consencus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Comm.of the ACM,1989,24 (6):381-395.

共引文献26

同被引文献39

引证文献4

二级引证文献3

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