Determining scale and sea state from water video

    Authors

    L. Spencer; M. Shah;R. K. Guha

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Image Process.

    Keywords

    Fourier transforms; frequency domain analysis; image analysis; sea; surface; water; REAL-TIME TRACKING; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

    Abstract

    In most image processing and computer vision applications, real-world scale can only be determined when calibration information is available. Dynamic scenes further complicate most situations. However, some types of dynamic scenes provide useful information that can be used to recover real-world scale. In this paper, we focus on ocean scenes and propose a method for finding sizes in real-world units and the sea state from an uncalibrated camera. Fourier transforms in the space and time dimensions yield spatial and temporal frequency spectra. For water waves, the dispersion relation defines a square relationship between the wavelength and period of a wave. Our method applies this dispersion relation to recover the real-world scale of an ocean sequence. The sea state-including the peak wavelength and period, the wind speed that generated the waves, and the wave heights-is also determined from the frequency spectrum of the sequence combined with stochastic oceanography models. The process is demonstrated on synthetic and real sequences, validating the results with known scene geometry. This has wide applications in port monitoring and coastal surveillance.

    Journal Title

    Ieee Transactions on Image Processing

    Volume

    15

    Issue/Number

    6

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    1525

    Last Page

    1535

    WOS Identifier

    WOS:000237850600018

    ISSN

    1057-7149

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