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
  • [41] Bioinspired Polarized Optical Flow Enables Turbid Underwater Target Motion Estimation
    Cheng, Haoyuan
    Zhao, Shujie
    Zhu, Jinchi
    Yu, Hao
    Chu, Jinkui
    JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2024, 23 (04) : 915 - 923
  • [42] Motion Estimation Based on an Improved Optical Flow Method Using PIV for VSLAM
    Yang, Shengze
    Cheng, Lan
    Yin, Jiaqi
    2022 4TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS, ICCR, 2022, : 358 - 363
  • [43] A contour tracking method of large motion object using optical flow and active contour model
    Choi, Jin Woo
    Whangbo, Taeg Keun
    Kim, Cheong Ghil
    MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 74 (01) : 199 - 210
  • [44] A contour tracking method of large motion object using optical flow and active contour model
    Jin Woo Choi
    Taeg Keun Whangbo
    Cheong Ghil Kim
    Multimedia Tools and Applications, 2015, 74 : 199 - 210
  • [45] Spatial Angular Compounding With Affine-Model-Based Optical Flow for Improvement of Motion Estimation
    Liu, Zhi
    He, Qiong
    Luo, Jianwen
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2019, 66 (04) : 701 - 716
  • [46] A PERIODIC OPTICAL FLOW MODEL FOR CARDIAC GATED IMAGES
    Li, Ling
    Niu, Xiaofeng
    Yang, Yongyi
    2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2, 2009, : 722 - 725
  • [47] A torus model for optical flow
    Adams, Henry
    Bush, Johnathan
    Carr, Brittany
    Kassab, Lara
    Mirth, Joshua
    PATTERN RECOGNITION LETTERS, 2020, 129 : 304 - 310
  • [48] Motion analysis of echocardiograph using optical flow method
    Yang, CK
    Terada, K
    Oe, S
    INFORMATION INTELLIGENCE AND SYSTEMS, VOLS 1-4, 1996, : 672 - 677
  • [49] Histograms of optical flow for efficient representation of body motion
    Pers, Janez
    Sulic, Vildana
    Kristan, Matej
    Perse, Matej
    Polanec, Klemen
    Kovacic, Stanislav
    PATTERN RECOGNITION LETTERS, 2010, 31 (11) : 1369 - 1376
  • [50] Motion characterization using optical flow and fractal complexity
    Borneman, Joshua D.
    Malaia, Evie
    Wilbur, Ronnie B.
    JOURNAL OF ELECTRONIC IMAGING, 2018, 27 (05)
12345