Title

Scale space based grammar for hand detection

Authors

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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