Scale Space Based Grammar for Hand Detection

  • Jan Prokaj
  • Niels da Vitoria Lobo
Conference paper

DOI: 10.1007/11821045_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4153)
Cite this paper as:
Prokaj J., da Vitoria Lobo N. (2006) Scale Space Based Grammar for Hand Detection. In: Zheng N., Jiang X., Lan X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jan Prokaj
    • 1
  • Niels da Vitoria Lobo
    • 1
  1. 1.University of Central FloridaOrlandoUSA

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