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The Multi-Modal Human Identification Based on Smartcard in Video Surveillance System

机译:基于智能卡在视频监控系统中的多模态人体识别

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Recently, the use of security surveillance system including CCTV is increasing due to the increase of terrors and crimes. However as the data recorded through the video surveillance system is exposed, the invasion of privacy is raised. The research on the technology of protecting privacy from the surveillance system in addition to these organizations is actively carried out. At this time, to distinguish the human of privacy protection, the identification technique is necessary. For identification, the proposed system uses soft-biometrics such as color and height information based on smart card. It can obtain reliable feature information using smart card. In this paper, representative colors are extracted by applying octree-based color quantization technique to the clothing region and height is extracted from the geometrical information of the images. The identification is accomplished by comparing the similarities between two data based on Euclidean distance. Through identification by using multiple information rather than single information, the proposed system demonstrates the possibility of human identification under the surveillance camera environment.
机译:最近,由于恐怖和犯罪的增加,在包括中央电视台的安全监控系统的使用正在增加。然而,随着通过视频监控系统记录的数据被暴露出来,提出了隐私的入侵。积极开展了对免疫监测系统保护隐私技术的研究。此时,为了区分隐私保护的人类,识别技术是必要的。对于识别,所提出的系统使用基于智能卡的彩色和高度信息等软生物测定学。它可以使用智能卡获得可靠的功能信息。在本文中,通过将基于Octree的颜色量化技术应用于衣服区域,从图像的几何信息提取高度来提取代表颜色。通过比较基于欧几里德距离的两个数据之间的相似性来实现识别。通过使用多个信息而不是单一信息来识别,所提出的系统展示了监视摄像机环境下人类识别的可能性。

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