期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

三维动态偏移场模型及其在视频跟踪技术中的应用

3-D Dynamic Displacement Field Model and Its Application to Video Tracking Systems
下载PDF
导出
摘要 基于二维动态偏移场模型,该文提出了动态偏移场模型的三维描述形式,实现了对目标沿景深方向运动状态的描述,并为失真图像序列的动态偏移提供了由平面偏移估计到空间运动状态估计的渐进描述。在视频跟踪系统中,较之其他视频跟踪技术,基于三维偏移场模型理论,该文实现了跟踪视频序列的稳定化和对被跟踪目标运动状态的估计。 Based on the 2-D dynamic displacement field model, the dynamic displacement model is extended from 2-D to 3-D. It realizes the description for the motion state estimation of the target in the depth direction of the sight field. It provides a gradually description process for distorted image sequence from estimating plane displacements to estimating spatial motion state. Compared to other video tracking techniques, based on the 3-D dynamic displacement field model, it has been implemented to stabilize the tracking sequence and estimate the target＇s motion state.
作者 刘艳 邹谋炎
机构地区 中国科学院研究生院 中国科学院电子学研究所
出处 《电子与信息学报》 EI CSCD 北大核心 2008年第11期2784-2787,共4页 Journal of Electronics & Information Technology
关键词 图像序列失真 三维动态偏移场模型 视频跟踪 运动状态估计 Image sequence distortion 3-D dynamic displacement field model Video tracking Motion state estimation
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献15

  • 1邹谋炎,刘艳,曹瑛,卢晓鹏,杜坤.一种新的图像序列失真模型：动态偏移场模型[J].电子与信息学报,2008,30(9):2143-2147. 被引量：3
  • 2Tico M, Alenius S, and Vehvilainen M. Method of motion estimation for image stabilization. Proc. ICASSP, Toulouse, France, 2006, 2: 277-280.
  • 3Yang S H, Jheng F M, and Cheng Y C. Two-dimensional adaptive image stabilization. Electronics Letters, 2007, 43(8}: 446-448.
  • 4Ert~k S. Translation, rotation and scale stabilization of image sequences. Electronics Letters, 2003, 39(17): 1245-1246.
  • 5Chang Hung-chang, Laoi Shang-hong, and Lu Kuang-rong. A Robust and efficient video stabilization algorithm. Proc. ICME, Taipei, Tedwan, 2004: 29-32.
  • 6Liang Y and Tyan H, et al.. Video stabilization for a camcorder mounted on a moving vehicle. IEEE Trans. on Vehicular Technology, 2004, 53(6): 1636-1648.
  • 7Matsushita Y and OfekE, et al.. Full-frame video stabilization. Proc. CVPR, Sun Diego, CA, USA, 2005, 1: 50-57.
  • 8Choi J H and Lee K H, et al.. Vehicle tracking using template matching based on feature points. Proc. IRI, Waikoloa Village, HI, USA:2006: 573-577.
  • 9Comaniciu D and Meer P. Mean shift: A robust approach toward feature space analysis. IEEE Trans. on Pattern Anal. Mach. Intell, 2002, 24(5): 603-619.
  • 10Hsieh J W and Yu S H, et al.. Automatic traffic surveillance system for vehicle tracking and classification. IEEE Trans. on Intelligent Transportation Systems, 2006, 7(2): 175-187.

二级参考文献12

  • 1Hoetter M. Differential estimation of the global motion parameters zoom and pan. Signal Processing, 1989, 16(2): 249-265.
  • 2Wu S F and Kittler J. A differential method for simultaneous estimation of rotation, change of scale and translation. Signal Processing: Image Communication, 1990, 2(1): 69-80.
  • 3Morimoto C and Chellappa R. Automatic digital image stabilization. Proc. ICPR, Osaka, Japan, 1997, 1: 60-65.
  • 4Uomori K, et al.. Automatic image stabilizing system by full-digital signal processing. IEEE Trans. on Consumer Electronics, 1990, 36(3): 510-519.
  • 5Ertttrk S. Translation, rotation and scale stabilization of image sequences. Electronics Letters, 2003, 39(17): 1245-1246.
  • 6Wang Demin and Wang Limin. Global motion parameters estimation using a fast and robust algorithm. IEEE Trans. on Circuits and Systems for Video Technology, 1997, 7(5): 823-826.
  • 7Liang Y and Tyan H, et al.. Video stabilization for a camcorder mounted on a moving vehicle. IEEE Trans. on Vehicular Technology, 2004, 53(6): 1636-1648.
  • 8Brown L G. A survey of image registration techniques. ACM Computing Surveys, 1992, 24(4): 325-376.
  • 9Olson C F and Huttenlocher D P. Automatic target recognition by matching oriented edge pixels. IEEE Trans. on Image Processing, 1997, 6(1): 103-113.
  • 10http://mwimlab.com/动态偏移场模型的仿真及稳定化视频结果.rar.

共引文献3

电子与信息学报
2008年 第11期

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