Application of colour detection and snakes to track hand images

  • Authors:

  • S. Robla;C. Torre;E. G. Sarabia;J. R. Llata

  • Affiliations:

  • Electronic Technology and Automatic System Department, University of Cantabria, Santander, Spain;Electronic Technology and Automatic System Department, University of Cantabria, Santander, Spain;Electronic Technology and Automatic System Department, University of Cantabria, Santander, Spain;Electronic Technology and Automatic System Department, University of Cantabria, Santander, Spain

  • Venue:
  • SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This article presents a study about two popular segmentation and tracking techniques in computer vision, skin segmentation and snakes, and their application to a particular case. The study is centered in skin segmentation over a wooden background mostly. At first wood and skin characteristics were thought to be very similar, what would have been an inconvenient. However, this paper shows that it is possible to get a satisfactory colour segmentation applying a Bayes classifier in YCbCr images format. The use of automatically initialized open active contours let the tracking of the segmented hand and its localization in the image.