期刊文献+

基于FPGA的实时空中目标跟踪系统设计与实现 被引量:2

Design and Implement of Real-Time Aerial Target Tracking System Based on FPGA
下载PDF
导出
摘要 针对民航机场及周边空域安全管理的需求和雷达监视存在盲区易受干扰的缺点,设计了一种基于FPGA的实时空中目标跟踪系统.针对空中目标的特点,采用灰度图像的帧间差分法进行目标检测,自适应双阈值进行目标分割,形心跟踪法进行目标跟踪,达到25帧/s的实时处理速度;算法通过设置跟踪区域和目标锁定点,排除了干扰的影响,提高了系统跟踪能力;采用形心坐标的脱靶量作为云台调整参数,依据分割目标像素大小在跟踪过程中进行了自动变焦控制;采用IDE接口硬盘作为存储介质,FAT32文件系统作为图像存储形式来记录实时图像.外场实验表明,系统工作稳定,跟踪算法简单实用,可辅助雷达系统对飞机起降及机场空域移动目标进行跟踪监视. Aimed at the requirements of airport and its peripheral airspace safety management of civil aviation and the shortcoming of the existence of blind spots vulnerable to interference of radar tracking,the paper designs a FPGA-based real-time aerial target tracking system.According to the characteristics of the aerial targets,the image with gray frame difference method for target detection,adaptive dual-threshold for target segmentation,centroid tracking method for target tracking,the system achieves up to 25 frames/s real-time processing speed.The impacts of interference are excluded and the tracking capabilities are improved by setting the track area and targeting algorithm.Then,the miss distance in the centroid coordinates is served as the tilt control parameters.According to the value of pixels of the divided target,automatic zoom control is employed during the tracking process.With IDE interface hard disk as storage medium,the FAT32 file system acts as image storage format to record the real-time image.Field experiments show that the system is stable,the tracking algorithm is simple and practical.It is used to assist radar tracking system in tracking and monitoring while airplane is taking off and landing and while there exists airport peripheral moving target.
出处 《交通运输系统工程与信息》 EI CSCD 2010年第5期45-52,共8页 Journal of Transportation Systems Engineering and Information Technology
关键词 航空运输 民航监视 目标跟踪 FPGA(现场可编程门阵列) 空中目标 形心算法 air transportation civil aviation surveillance target tracking FPGA (field-programmable gate array) aerial target centroid algorithm
  • 相关文献

参考文献8

  • 1Mehmood K, Mrak M, Calic J, et al. Object tracking in surveillance videos using compressed domainfeatures from scalable bit-streams[J]. Signal Processing: Image Communication, 2009 (24): 814- 824.
  • 2Colombari A, Fusiello A, Murino V. Segmentation and tracking of multiple video objects [ J 1. Pattern Recognition, 2007 ( 40 ) : 1307 - 1317.
  • 3徐西平,赵亮亮,段晓云.高清视频图像跟踪器硬件设计[J].科学技术与工程,2009,9(18):5497-5499. 被引量:5
  • 4Emanuel Stingu, Frank L, Lewis. A hardware platform for research in helicopter UAV control[ J]. J Intell Ro- bot Syst, 2008, 2009(54): 387-406.
  • 5Michael Tranchitella, Stephen Fujikawa, Tzer Leei Ng, et al, Using tactical unmanned aerial systems to monitor and map wildfires [ R ]. American Institute of Aeronautics and Astronautics, 2007.
  • 6Eric Monmasson, Marcian N, Cirstea. FPGA design methodology for industrial control systems-a review[J].IEEE Transactions on Industrial Electronics, 2007,54 (4) : 1824 - 1842.
  • 7刘刚,苏秀琴,胡晓东,郝伟,杨小君.高速电视下基于自适应阈值的实时图像跟踪[J].光子学报,2005,34(8):1262-1265. 被引量:20
  • 8丁卫,龚振邦,谢少荣,邹海荣.基于视觉的低空跟踪系统[J].光学精密工程,2007,15(6):957-965. 被引量:3

二级参考文献19

共引文献25

同被引文献12

引证文献2

二级引证文献8

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