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A fast connected components labeling algorithm and its application to real-time pupil detection

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Abstract

We describe a fast connected components labeling algorithm using a region coloring approach. It computes region attributes such as size, moments, and bounding boxes in a single pass through the image. Working in the context of real-time pupil detection for an eye tracking system, we compare the time performance of our algorithm with a contour tracing-based labeling approach and a region coloring method developed for a hardware eye detection system. We find that region attribute extraction performance exceeds that of these comparison methods. Further, labeling each pixel, which requires a second pass through the image, has comparable performance.

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Authors and Affiliations

  1. 3DVIS Lab, College of Optical Sciences, University of Arizona, 1630 E. University Blvd., Tucson, AZ, 85721, USA

    Prasad Gabbur & Hong Hua

  2. Department of Computer Science, University of Arizona, 1040 E. 4th Street, Tucson, AZ, 85721, USA

    Kobus Barnard

Authors
  1. Prasad Gabbur
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  2. Hong Hua
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  3. Kobus Barnard
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Correspondence to Prasad Gabbur.

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Gabbur, P., Hua, H. & Barnard, K. A fast connected components labeling algorithm and its application to real-time pupil detection. Machine Vision and Applications 21, 779–787 (2010). https://doi.org/10.1007/s00138-009-0183-1

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  • DOI: https://doi.org/10.1007/s00138-009-0183-1

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