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场景监视与理解研究新进展 被引量：2

Latest development of scene surveillance and understanding
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摘要 介绍了智能场景监视与理解系统的研究现状和进展,主要讨论了单传感器场景监视和多传感器场景监视的处理方法,同时对这些方法的优缺点进行了评述,最后对该领域的研究难点作了较为详细的分析,给出了智能场景监视研究的发展方向。 This paper provides a comprehensive survey of developments and methods of scene surveillance and understanding. The scene understanding methods based on single image sensor and multiple sensors are discussed, then it points out the advantages and disadvantages of every method, and finally presents some future research directions with a concentration on issues and the development tendency of scene understanding.
作者 胡士强 敬忠良 梁国壮 郭立炜
机构地区 河北科技大学电气信息学院 上海交通大学电子信息学院
出处 《河北科技大学学报》 CAS 2005年第1期58-63,共6页 Journal of Hebei University of Science and Technology
基金 河北省博士科学基金资助项目(B2004510) 中国博士后科学基金资助项目(2003034265)
关键词 场景 监视 多传感器 智能 系统 领域 研究新进展 研究现状 难点 优缺点 multi-sensor scene surveillance target tracking image understand
分类号 N02 [自然科学总论—科学技术哲学] TP391 [自动化与计算机技术—计算机应用技术]
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参考文献35

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同被引文献18

  • 1常发亮,马丽,乔谊正.遮挡情况下的视觉目标跟踪方法研究[J].控制与决策,2006,21(5):503-507. 被引量：9
  • 2[3]Nummiaro K,Koller-Meiet E,Van Goo L,Color features for tracking non-rigid objects.Chinese Journal of Automation,2003; 29(3):345-355
  • 3[4]Satoh Y,Okatani T,Dguchi K.A color-base tracking by Kalman particle filter.In:Proceedings of the 17th International Conference on Pattern Recognition(ICPR'04).Yoshi,Japan,2004
  • 4[5]Bruno M C S.Sequential importance sampling filtering for target tracking in image sequences.Signal Processing Letters,IEEE,2003;10(8):246-249
  • 5[6]Fukunaga K,HosteIler L D.The estimation of the gradient of a density function,with application in recognition.Transactions on Information Theory,1975;21:32-40
  • 6[7]Shan Canfeng,Wei Yucheng,Tan Tieniu.Frederic ojardias,real time hand tracking by combining particle filtering and mean shift.Sixth IEEE International Conference on Automatic Face and Gesture Recognition,Seoul,Korea,2004:669-674
  • 7[8]Deguchi K,Oki Kawanaka,Takayuki Okatani.Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm.International Conference on Pattern Recognition,Cambridge,England,UK,2004:506-509
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  • 10O Javed,M Shah.Tracking and object classification for automated surveillance[C].In:Proceedings of ECCV,2002

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二级引证文献11

河北科技大学学报
2005年 第1期

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