An improved real-time contour tracking algorithm using fast level set method

Authors:
Myo Thida;Kap Luk Chan;How-Lung Eng
Affiliations:
Center for Signal Processing, Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;Center for Signal Processing, Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;Institute for Infocomm Research, Singapore
Venue:
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Year:
2006

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Abstract

Human contour provides important information in high level vision tasks such as activity recognition and human computer interaction where detailed analysis of shape deformation is required. In this paper, a real time region-based contour tracking algorithm is presented. The main advantage of our algorithm is the ability of tracking nonrigid objects such as human using an adaptive external speed function with fast level set method. The weighting parameter, λi is adjusted to accommodate the situations in which the object being tracked and the background have similar intensity. Experimental results show the better performance of the proposed algorithm with adaptive weights.