Analysis, Comparison and Improvement of Block Matching Based Sub-Pixel Motion Measurement Methods for Image Sequences

被引:0
|
作者
Wei, Yangjie [1 ]
Dong, Zaili [2 ]
Wu, Chengdong [3 ]
机构
[1] Chinese Acad Sci, Grad Univ, Shenyang 110016, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China
[3] Northeast Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
关键词
OPTICAL-FLOW; REGISTRATION; PERFORMANCE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the sub-pixel motion measurement for image sequences is researched, and an improved two-dimensional distance-similarity measurement based on block matching algorithm is proposed to decrease the huge computational burden of existing strategies by reducing the searching region. Then, the normal sub-pixel motion estimation based on quadratic curve fitting is analyzed and several other fitting functions are proposed to be used in sub-pixel motion estimation. Finally, the extensively comparison experiments are conducted with respect to the motion measurement for image sequences, and the detailed analysis about influence of the objective functions, the block size, and the fitting function on the estimation precision is given.
引用
下载
收藏
页码:112 / +
页数:2
相关论文
共 50 条
  • [21] SUB-PIXEL MOTION ESTIMATION WITH 3-D RECURSIVE SEARCH BLOCK-MATCHING
    DEHAAN, G
    BIEZEN, PWAC
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 1994, 6 (03) : 229 - 239
  • [22] Sub-pixel motion estimation using kernel methods
    Hill, P. R.
    Bull, D. R.
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2010, 25 (04) : 268 - 275
  • [23] Fast sub-pixel accuracy stereo image matching based on disparity plane
    Jiang, Nan
    Qu, Yufu
    Li, Yueping
    2015 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING AND PROCESSING TECHNOLOGY, 2015, 9622
  • [24] KERNEL BASED SUB-PIXEL MOTION ESTIMATION
    Hill, P. R.
    Bull, D. R.
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 1557 - 1560
  • [25] An Improved Sub-Pixel Location Method for Image Measurement
    Zhou, Hu
    Liu, Zhihui
    Yang, Jianguo
    ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT I, 2011, 214 : 83 - 92
  • [26] A new algorithm with sub-pixel accuracy in image/model matching
    Zhao, LC
    Shi, PF
    Yu, Y
    Zhou, XT
    Yu, NBC
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 1999, 18 (05) : 407 - 411
  • [27] A comparison of algorithms for tracking sub-pixel speckle motion
    Geiman, B
    Bohs, L
    Anderson, M
    Breit, S
    Trahey, G
    1997 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 & 2, 1997, : 1239 - 1242
  • [28] A new sub-pixel map for image analysis
    Meine, Hans
    Koethe, Ullrich
    COMBINATORIAL IMAGE ANALYSIS, PROCEEDINGS, 2006, 4040 : 116 - 130
  • [29] Sub-pixel Edge Estimation Based on Matching Template
    Zhang Jin
    Wang Zhong
    Yang Chun
    Ye Sheng Hua
    2008 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC MEASUREMENT TECHNOLOGY AND APPLICATIONS, 2009, 7160
  • [30] Motion Magnification in Solar Imaging Data Sequences in the Sub-pixel Regime
    Zhong, Sihui
    Duckenfield, Timothy J.
    Nakariakov, Valery M.
    Anfinogentov, Sergey A.
    SOLAR PHYSICS, 2021, 296 (09)