Block motion model for optical flow with smoothness prior function

被引：0
|
作者：
Tandjung, Stephanus Surijadarma [1 ]
Soon, Seah Hock [2 ]
Kemao, Qian [2 ]
机构：
[1] Tokyo Inst Technol, NTT Comm, BeyondLSI Inc, Tokyo 152, Japan
[2] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
来源：
2006 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1- 5 | 2006年
关键词：
optical flow; motion estimation; maximum a posterior probability; Markov random field;
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：
An explicit constraint is introduced into the Lucas-Kanade gradient based block motion model. This constraint helps the estimation process to consider surrounding motion vectors during its calculation. Consequently a better motion field can be produced than that by the original block motion model. Further, a discontinuity adaptive function is introduced into the Lucas-Kanade equation, which helps to preserve the discontinuities of motion fields.
引用
收藏
页码：1652 / +
页数：3
相关论文
共 50 条
  • [1] A Comparative Study of Block Matching and Optical Flow Motion Estimation Algorithms
    Philip, Jobin T.
    Samuvel, Binoshi
    Pradeesh, K.
    Nimmi, N. K.
    2014 ANNUAL INTERNATIONAL CONFERENCE ON EMERGING RESEARCH AREAS: MAGNETICS, MACHINES AND DRIVES (AICERA/ICMMD), 2014,
  • [2] A HIERARCHICAL OPTICAL-FLOW ESTIMATION ALGORITHM-BASED ON THE INTERLEVEL MOTION SMOOTHNESS CONSTRAINT
    HWANG, SH
    LEE, SU
    PATTERN RECOGNITION, 1993, 26 (06) : 939 - 952
  • [3] Fractional-order variational optical flow model for motion estimation
    Chen, Dali
    Sheng, Hu
    Chen, YangQuan
    Xue, Dingyu
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2013, 371 (1990):
  • [4] MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior
    Zhou, Shili
    Jiang, Xuhao
    Tan, Weimin
    He, Ruian
    Yan, Bo
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 1964 - 1974
  • [5] Wavelets and Optical Flow Motion Estimation
    Derian, P.
    Heas, P.
    Herzet, C.
    Memin, E.
    NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2013, 6 (01): : 116 - 137
  • [6] Video interpolation using optical flow and Laplacian smoothness
    Li, Wenbin
    Cosker, Darren
    NEUROCOMPUTING, 2017, 220 : 236 - 243
  • [7] Motion detection using block based bi-directional optical flow method
    Sengar, Sandeep Singh
    Mukhopadhyay, Susanta
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2017, 49 : 89 - 103
  • [8] Estimation of People Movement in Video Based on Optical Flow Block Method and Motion Maps
    H. Chen
    R. P. Bohush
    Ch. Chen
    S. V. Ablameyko
    Pattern Recognition and Image Analysis, 2021, 31 : 261 - 270
  • [9] Estimation of People Movement in Video Based on Optical Flow Block Method and Motion Maps
    Chen, H.
    Bohush, R. P.
    Chen, Ch.
    Ablameyko, S. V.
    PATTERN RECOGNITION AND IMAGE ANALYSIS, 2021, 31 (02) : 261 - 270
  • [10] Optical flow algorithm for cardiac motion estimation
    Loncaric, S
    Majcenic, Z
    PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, 2000, 22 : 415 - 417
12345