A fast level-set method for accurate tracking of articulated objects with an edge-based binary speed term

Authors:
Cristina Darolti;Alfred Mertins;Ulrich G. Hofmann
Affiliations:
Institute for Signal Processing, Univ. of Lübeck, Lübeck, Germany;Institute for Signal Processing, Univ. of Lübeck, Lübeck, Germany;Institute for Signal Processing, Univ. of Lübeck, Lübeck, Germany
Venue:
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Year:
2007

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Abstract

This paper presents a novel binary speed term for tracking objects with the help of active contours. The speed, which can be 0 or 1, is determined by local nonlinear filters, and not by the strength of the gradient as is common for active contours. The speed has been designed to match the nature of a recent fast level-set evolution algorithm. The resulting active contour method is used to track objects for which probability distributions of pixel intensities for the background and for the object cannot be reliably estimated.