A new method for occluded face detection from single viewpoint of head

T. Charoenpong, C. Nuthong, U. Watchareeruetai
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引用次数: 9

Abstract

Due to a problem of current research concerning with occlude face detection occurring when detecting occluded face captured from any viewpoint of head between -90 degrees to +90 degrees, we propose a new method to detect occluded face from a viewpoint of face by skin color ratio of two parts of head region. Head data is captured from any viewpoint between -90 degrees to +90 degrees of viewpoint of head. This method consists of four steps which are primary head regions extraction, head area identification, skin area segmentation, and classification. For first step, foreground is extracted by Mahalanobis distance and background subtraction. In second step, head area is extracted based on primary head region. In third step, skin area is segmented by using multi-skin color database. Head region is divided into two parts based on center of head. For fourth step, a criterion of skin ratio of two parts of head is used for classification. In this paper, occluded face is detected by a criterion of skin ratio from each side of head. To evaluate performance of the method, huskin color ratio of two parts of head region. Head data is captured from any viewpoint between -90 degrees to +90 degrees of viewpoint of head. This method consists of four steps which are primary head regions extraction, head area identification, skin area segmentation, and classification. For first step, foreground is extracted by Mahalanobis distance and background subtraction. In second step, head area is extracted based on primary head region. In third step, skin area is segmented by using multi-skin color database. Head region is divided into two parts based on center of head. For fourth step, a criterion of skin ratio of two parts of head is used for classification. In this paper, occluded face is detected by a criterion of skin ratio from each side of head. To evaluate performance of the method, human head with and without obstacle captured from any viewpoint of headman head with and without obstacle captured from any viewpoint of head between -90 degrees to +90 degrees around the head is used. Based on a criterion of skin ratio from two sides of head, accuracy rate of non-occluded face and occluded face detection is 86.29%, and 91.02%, respectively. Advantage of this method is that this method can detect occluded face such as helmet or mask from any viewpoint of head.
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基于头部单视点的遮挡人脸检测新方法
针对目前研究中从头部-90度到+90度任意视点采集的遮挡人脸检测存在的遮挡人脸检测问题,提出了一种利用头部两部分的肤色比从面部视点检测遮挡人脸的方法。头部数据从头部-90度到+90度的任何视点捕获。该方法包括头部原始区域提取、头部区域识别、皮肤区域分割和分类四个步骤。第一步,通过马氏距离和背景相减提取前景;第二步,在原始头部区域的基础上提取头部区域。第三步,利用多肤色数据库对皮肤区域进行分割。头部区域根据头部中心分为两部分。第四步,采用头部两部分皮肤比例标准进行分类。本文利用头部两侧皮肤比例的判据来检测被遮挡的人脸。为评价该方法的性能,取头区两部分的皮色比。头部数据从头部-90度到+90度的任何视点捕获。该方法包括头部原始区域提取、头部区域识别、皮肤区域分割和分类四个步骤。第一步,通过马氏距离和背景相减提取前景;第二步,在原始头部区域的基础上提取头部区域。第三步,利用多肤色数据库对皮肤区域进行分割。头部区域根据头部中心分为两部分。第四步,采用头部两部分皮肤比例标准进行分类。本文利用头部两侧皮肤比例的判据来检测被遮挡的人脸。为了评估该方法的性能,使用从头部周围-90度到+90度的任何视点捕获的有障碍物和没有障碍物的人头。基于头部两侧皮肤比例标准,未遮挡面部和遮挡面部检测准确率分别为86.29%和91.02%。该方法的优点是可以从头部的任何视点检测出被遮挡的面部,如头盔或面罩。
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