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An intensity- and region-guided narrow-band level set model for contour tracking | IEEE Conference Publication | IEEE Xplore

An intensity- and region-guided narrow-band level set model for contour tracking


Abstract:

Level set-based contour tracking methods have generated recent interest in the computer vision community. In this paper, we propose a novel level set-based algorithm for ...Show More

Abstract:

Level set-based contour tracking methods have generated recent interest in the computer vision community. In this paper, we propose a novel level set-based algorithm for tracking dynamic implicit contours that utilizes minimal prior information. Our solution consists of two main steps. In the first step, a simple first-order Markov chain model is employed for the coarse localization of a target object. In the second step, we evolve level sets within a narrow band to accurately track the target contour. Narrow band curve evolution is guided through color- and region-based terms in the standard Chan-Vese framework. Comprehensive experimentation on a dataset comprising of several publicly available video sequences clearly demonstrate the advantage of the proposed tracking algorithm.
Date of Conference: 04-08 December 2016
Date Added to IEEE Xplore: 24 April 2017
ISBN Information:
Conference Location: Cancun, Mexico

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