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Output details

11 - Computer Science and Informatics

University of York

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Output 108 of 139 in the submission

Article title

Robust Processing of Optical Flow of Fluids

Type

D - Journal article

DOI

10.1109/TIP.2010.2048614

Title of journal

IEEE Transactions on Image Processing

Article number

5451170

Volume number

Issue number

First page of article

2332

ISSN of journal

1057-7149

Year of publication

2010

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5451170

Number of additional authors

Additional information

<23>Describes a new method for modeling complex movements in video sequences. Introducing robust statistics into diffusion kernels, which are then applied to optical flow estimation, gives a new vector field smoothing method. Tested on artificial data and optical flow models from satellite images recording movements of clouds, tornados and storms. The method is analyzed by visualizing the motion vector fields associated with weather events, and numerically, using ground truth data. Paper has citations in areas requiring the processing of vector fields, such as satellite image analysis, depth estimation, particle image velocimetry flow processing and crowd behavior from video sequences.

Interdisciplinary

Cross-referral requested

Research group

H - Computer Vision and Pattern Recognition

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract