Scale space based grammar for hand detection

    Authors

    J. Prokaj;N. D. Lobo

    Comments

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    Keywords

    Computer Science, Artificial Intelligence; Computer Science, Theory &; Methods; Imaging Science & Photographic Technology

    Abstract

    For detecting difficult objects, like hands, we present an algorithm that uses tokens and a grammar. Tokens are found by employing a new scale space edge detector that finds scale invariant features at object boundaries. We begin by constructing the scale space. Then we find edges at each scale and flatten the scale space to one edge image. To detect a hand we define a hand pattern grammar using curve tokens for finger tips and wedges, and line tokens. We identify a hand pattern by parsing these tokens using a graph based algorithm. We show and discuss the results of this algorithm on a database of hand images.

    Journal Title

    Advances in Machine Vision, Image Processing, and Pattern Analysis

    Volume

    4153

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    17

    Last Page

    26

    WOS Identifier

    WOS:000240262900002

    ISSN

    0302-9743; 3-540-37597-X

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