嵌入式水平集集成跟踪算法研究

Hong-xiu Li, Li Ka
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摘要

为了准确、及时地了解目标外观的变化,有效地描述目标,本文提出了嵌入式水平集跟踪算法,并进行了理论和实验验证研究,结果表明:与经典的集成跟踪相比,集成跟踪嵌入式水平集在处理复杂背景方面更加突出。水平集函数在目标轮廓描述方面具有突出的特点,大大提高了综合跟踪的精度和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Integrated Tracking Algorithm Embedded Level Set
In order to accurately and timely learn the changes of the target appearance, and effectively describe the object, tracking algorithm embedded level set is proposed in this paper, and the theoretic and experimental verification are researched, results show that: compared with the classic integrated tracking, integrated tracking embedded level set has more outstanding in dealing with complex background. The level set function owns its outstanding characteristics in the description of the target contour, and greatly improve the accuracy and robustness of the integrated tracking.
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