A fast connected components labeling algorithm and its application to real-time pupil detection Short Paper First Online: 24 January 2009 Received: 12 September 2007 Revised: 15 October 2008 Accepted: 23 December 2008 DOI :
10.1007/s00138-009-0183-1
Cite this article as: Gabbur, P., Hua, H. & Barnard, K. Machine Vision and Applications (2010) 21: 779. doi:10.1007/s00138-009-0183-1 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.
Keywords Connected components labeling Pupil detection Eye tracking Region coloring Segmentation
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