Robust Optical flow Estimation for Illumination Changes

被引:0
|
作者
Li, Xiuzhi [1 ]
Jia, Songmin [1 ]
Zhao, Xue
机构
[1] Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
基金
北京市自然科学基金;
关键词
ALGORITHM;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
How to tackle the difficulty involved in optical flow calculation caused by illumination inconsistency in adjacent video frames remains an open challenge. This motivates us to investigate how to obtain a valid and accurate optical flow field which is robust to illumination change based on structure-texture decomposition. In this paper, we attempt to reveal the involved technique details in this ROF model based image decomposition and carefully examine the improvement extent quantitatively by experiment. The advent of structure-texture decomposition for optical flow calculation is verified by experiment results. It is demonstrated from the comparison in the experiment that the accuracy of optical flow field estimated by TV-L-1 model and structure-texture decomposition based method outperforms that obtained by pure TV-L-1 model and TV-L-1 and filter constancy based method.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Robust optical flow estimation to enhance behavioral research on ants
    Rao, Sana
    Wang, Hanzi
    Kashif, Rao
    Rao, Faiza
    DIGITAL SIGNAL PROCESSING, 2022, 120
  • [22] A robust optical flow estimation technique using gradient orientations
    Boonsieng, Pramuk
    Kondo, Toshiaki
    Kongprawechnon, Waree
    SCIENCEASIA, 2014, 40 (01): : 73 - 83
  • [23] Robust optical flow estimation based on brightness correction fields
    Wei WANG Zhixun SU Jinshan PAN Ye WANG Riming SUN School of Mathematical SciencesDalian University of TechnologyDalian China Department of MathematicsHarbin Institute of TechnologyHarbin China
    Journal of Zhejiang University-Science C(Computers & Electronics), 2011, 12 (12) : 1010 - 1020
  • [25] Robust optical flow estimation based on brightness correction fields
    Wang, Wei
    Su, Zhi-xun
    Pan, Jin-shan
    Wang, Ye
    Sun, Ri-ming
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2011, 12 (12): : 1010 - 1020
  • [26] Robust estimation of optical flow based on the maximum likelihood estimators
    KAIST, Taejon, Korea, Republic of
    IEICE Trans Inf Syst, 9 (1286-1295):
  • [27] Empirical choice of smoothing parameters in robust optical flow estimation
    Shi, MG
    Solo, V
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, : 349 - 352
  • [28] Robust optical flow estimation via edge preserving filtering
    Rao, Sana
    Wang, Hanzi
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 96
  • [29] Robust Estimation of Camera Motion Using Optical Flow Models
    Almeida, Jurandy
    Minetto, Rodrigo
    Almeida, Tiago A.
    Torres, Ricardo da S.
    Leite, Neucimar J.
    ADVANCES IN VISUAL COMPUTING, PT 1, PROCEEDINGS, 2009, 5875 : 435 - +
  • [30] Robust estimation of optical flow based on the maximum likelihood estimators
    Lee, KH
    Wohn, KY
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1996, E79D (09) : 1286 - 1295