为人体模型识别解决着装问题

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603) Pub Date : 2001-07-25 DOI:10.1109/SICE.2001.977834

M.M. Rahman, H.S. Kim, S. Ishikawa

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引用次数: 5

摘要

本文提出了一种自动识别人体姿势的方法，并研究了由于穿着服装的变化而产生的服装效应。该方法使用基于外观的特征空间技术，并通过在原始图像上使用模糊边缘操作来增强它，以减少特征空间中的穿着效应。提出的模糊边缘处理方法克服了服装效应，验证了期望的识别率，并利用不同服装的人体模型进行了相关实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Solving a dress problem for a human model recognition

An approach to recognize a human posture automatically is presented in this paper along with the investigation of a dress effect due to change of wearing dresses. The approach uses an appearance-based eigenspace technique, and augments it by employing blurred-edge operations over original images for reducing dress effect in eigenspace. The proposed blurred-edge operations confirm the expected recognition rate overcoming the dress effect, and related experiment is performed employing a human model wearing various dresses.

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来源期刊

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)

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