[1]昌猛,吴新根,罗立民,等.一种快速的光流场计算方法[J].东南大学学报(自然科学版),1999,29(5):101-104.[doi:10.3969/j.issn.1001-0505.1999.05.021]
 Chang Meng,Wu Xingen,Luo Limin,et al.An Improved Method of Optical Flow Estimation[J].Journal of Southeast University (Natural Science Edition),1999,29(5):101-104.[doi:10.3969/j.issn.1001-0505.1999.05.021]
点击复制

一种快速的光流场计算方法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
29
期数:
1999年第5期
页码:
101-104
栏目:
图像处理
出版日期:
1999-09-20

文章信息/Info

Title:
An Improved Method of Optical Flow Estimation
作者:
昌猛 吴新根 罗立民 舒华忠 傅瑶
东南大学生物科学和医学工程系, 南京 210096
Author(s):
Chang Meng Wu Xingen Luo Limin Shu Huazhong Fu Yao
Department of Biological Science and Medical Engineering,Southeast University, Nanjing 210096
关键词:
光流场 瞬时位置速度 惯性因子 峰值信噪比
Keywords:
optical flow field instaneous position velocity inertia factor PSNR
分类号:
TP751.1
DOI:
10.3969/j.issn.1001-0505.1999.05.021
摘要:
在Horn与Schunck方法的基础上,提出了一种加快的瞬时位置速度估计方法.这种方法在不降低原算法性能的条件下,能加快算法的收敛速度.通过对2D运动图像光流场计算、速度幅度、角度的平均误差、收敛时间和峰值信噪比(PSNR)的实例计算表明,这一新方法是有效的.
Abstract:
An improved method of optical flow (OF) estimation is proposed based on Horn’s algorithm. By adding an inertia factor in the iterative equations of original Horn’s approach, the method speeds up convergence of the algorithm under the condition of not bringing down the behavior of Horn’s approach.

参考文献/References:

[1] Horn B K P,Schunck B G.Determining optical flow.Artificial Intelligence,1981,17:185~203
[2] Black M J,Jepson A D.Estimation optical flow in segmented images using variable-order parametric models with local deformations.IEEE Trans Pattern Analysis and Matchine Intelligence,1996,18(10):972~986
[3] Adelson E H,Bergen J R.The extraction of spatiotemporal energy in human and machine vision.In:Proceedings-Workshop on Motion:Representation and Analysis.Charleston:IEEE Computer Society,1986.151~156
[4] Kearney J K,Thompson W B.Optical flow estimation:An error analysis of gradient-based methods with local optimization.IEEE Trans Pattern Analysis and Machine Intelligence,1987,9(2):229~244
[5] Simoncelli E P,Adelson E H.Probability distributions of optical flow.In:Proc IEEE Conf Computer Vision and Pattern Recognition.NJ USA:IEEE Piscataway,1991.310~315
[6] Sim D G,Park R H.Robust reweighted MAP motion estimation.IEEE Trans Pattern Analysis and Machine Intelligence,1998,20(4):353~365
[7] Fogel S V.Estimation of velocity vectors fields from time varying image sequences.CVGIP:Image Understanding,1991,53:253~287
[8] 泰卡尔普.数字视频处理.北京:清华大学出版社,1998.72~94

备注/Memo

备注/Memo:
基金项目:国家自然科学基金资助项目(69572012).
第一作者:男,1972年生,硕士研究生.
更新日期/Last Update: 1999-09-20