期刊文献+

机载光电系统的行人跟踪方法研究

The Research of Pedestrian Track Based on Airborne photo-electric System
下载PDF
导出
摘要 行人目标,作为计算机视觉领域内最有价值、最受关注的目标,一直以来都是目标跟踪领域内的研究热点和难点。机载光电系统的行人跟踪技术一般用于无人机搜索、边境巡逻等非战争军事领域。为了克服形变、遮挡因素对行人跟踪的影响,文章提出一种基于上下文辅助的行人跟踪方法,它利用局部区域的所有像素点与目标组成上下文关系,将跟踪问题转化为计算目标可能出现位置的置信图,置信图响应最大的地方即为当前帧估计出的目标中心。通过仿真试验对比,验证本文方法在运算速度和稳定性方面都有较大提高。 Pedestrian target, as the most valuable and most concerned in the field of computer vision, has always been a hot re-search topic in the field of target tracking. The pedestrian tracking technology of airborne photo-electro system is generally used in the field of non-war military fields such as UAV search, border patrol and so on. This paper proposes a context-based aid target track method, which uses all the pixels of the target composition of the context of the local area relationship, the track problem into possible locations confidence map for the calculation of the target, where the greatest confidence map in response to the cur-rent frame is estimated center of the target. Compared through simulation experiment, the method on the speed and stability are improved greatly.
出处 《信息通信》 2016年第2期19-22,共4页 Information & Communications
关键词 行人跟踪 上下文辅助 置信图 光电系统 Pedestrian Tracking,Context Auxiliary,Confidence Map,photo-electro system
  • 相关文献

参考文献14

  • 1Ming Yang,Ying Wu,Gang Hua.Context-Aware Visual Tracking. Pattern Analysis and Machine Intelligence, IEEE Transactions on . 2009
  • 2方义,嵇智源,盛浩.基于道路环境上下文的行人跟踪方法[J].计算机应用,2015,35(8):2311-2315. 被引量:2
  • 3Ning, Jifeng,Zhang, Lei,Zhang, David,Wu, Chengke.Robust object tracking using joint colour texture histogram. International Journal of Pattern Recognition and Artificial Intelligence . 2009
  • 4L. Vacchetti,V. Lepetit,P. Fua.Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking. International Symposium on Mixed and Augmented Reality . 2004
  • 5Collins RT,Liu YX,Leordeanu M.Online selection of discriminative tracking features. IEEE Transactions on Pattern Analysis and Machine Intelligence . 2005
  • 6梁建勇,蔡晓东,毕伟伟,刘双成,张力.高效和鲁棒行人检测与跟踪算法研究[J].桂林电子科技大学学报,2014,34(5):399-405. 被引量:2
  • 7王林,彭辉,朱华勇,沈林成.应用无人机跟踪地面目标——最新研究进展[J].系统仿真学报,2010,22(A01):172-177. 被引量:13
  • 8成刚,杨随虎.无人机机载光电系统综述[J].应用光学,2005,26(4):1-4. 被引量:19
  • 9Cannons Kavin.A Review of Visual tracking. . 2008
  • 10Xiao Z Y,Lu H C,Wang D.L2-RLS-Based object tracking. IEEE Transactions on Circuits and Systems for Video Technology . 2014

二级参考文献83

  • 1Office of the Secretary of Defense, Urmaarmed Systems Roadmap 2007-2032 [R], 2007.
  • 2Office of the Secretary of Defense, Unmanned Aircraft Systems Roadmap 2005-2030 [R]. 2005.
  • 3V Shaferman, T Shima. Unmanned Aerial Vehicles Cooperative Tracking of Moving Ground Target in Urban Environments [.1]. JOURNAL OF GUIDANCE, CONTROL, AND DYNAMICS, 2008, 31: 1360-1371.
  • 4B G L Chaimowicz, J F Keller, V Kumar, C J Taylor. Experiments in Multirobot Air-Ground Coordination [C]// 2004 International Conference on Robotics and Automation, New Orleans, LA, USA, 2004.
  • 5J Redding, T W McLain, R W Beard, C Taylor. Vision-based Target Localization from a Fixed-wing Miniature Air Vehicle [R]. 2005.
  • 6Michael G Johnston Jr. GROUND OBJECT GEO-LOCATION USING UAV VIDEO CAMERA [C]//25th Digital Avionics Systems Conference, 2006.
  • 7R Madison, P DeBitetto, A R Olean, M Peebles. Target Geolocafion from a Small Unmanned AircraR System [R]. 2008.
  • 8Stephen Morris Eric W. Frew. Cooperative Tracking of Moving Targets by Teams of Autonomous Unmanned Air Vehicles [R]. 2005.
  • 9D A Lawrence. Lyapunov Vector Fields for UAV Flock Coordination [C]//2nd AIAA "Unmanned Unlimited" Systems, Technologies, and Operations -- Aerospac San Diego, California, USA, 2003.
  • 10E W Frew, D A Lawrence, C Dixon, J Elston. Lyapunov Guidance Vector Fields for Unmanned Aircraft Applications JR]. 2007.

共引文献33

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