基于面部信息的手部检测

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) Pub Date : 2016-09-01 DOI:10.1109/ICCE-Berlin.2016.7684746

S. Han, Seokmok Park, Min-jae Kim, J. Paik

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引用次数: 2

摘要

提出了一种基于人脸信息的鲁棒手部检测算法。该算法包括四个步骤:(i)人脸检测，(ii)生成感兴趣区域(ROI)来检测手，(iii)从人脸区域提取肤色，(iv)在感兴趣区域中使用人脸肤色检测手。该算法可以减少因肤色相似而导致的误检，成功率高达92%。

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Hand detection using facial information

This paper presents a robust hand detection algorithm using the facial information. The proposed algorithm consists of four steps: (i) detection of a face, (ii) generation of regions of interest (ROI) to detect hands, (iii) skin color extraction from the face region, and (iv) detection of hands using the face skin color in the ROI. The proposed algorithm can reduce false detection caused by a similar skin color, and provides a successful detection rate up to 92 percent.

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来源期刊

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

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