Real-time object tracking and segmentation using adaptive color snake model

被引：0

作者：

Department of Electrical Engineering and Computer Science, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea, Republic of ^{[1
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机构：

来源：

Int. J. Control Autom. Syst. | 2006年 / 2卷 / 236-246期

关键词：

Adaptive control systems - Algorithms - Image segmentation - Motion estimation - Real time systems - Robustness (control systems);

D O I：

暂无

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学科分类号：

摘要：

Motion tracking and object segmentation are the most fundamental and critical problems in vision tasks such as motion analysis. An active contour model, snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects. In this paper, the development of new snake model called adaptive color snake model (ACSM) for segmentation and tracking is introduced. The simple operation makes the algorithm runs in real-time. For robust tracking, the condensation algorithm was adopted to control the parameters of ACSM. The effectiveness of the ACSM is verified by appropriate simulations and experiments.

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