标准编号：ISO/IEC 30137-1:2019
中文名称：信息技术 视频监视系统中生物特征的使用 第1部分：系统设计和规范
英文名称：Information technology — Use of biometrics in video surveillance systems — Part 1: System design and specification
发布日期：2019-05
标准范围
The ISO 30137 series is applicable to the use of biometrics in VSS (also known as Closed Circuit Television
or CCTV systems) for a number of scenarios, including real-time operation against watchlists and in
post event analysis of video data. In most cases, the biometric mode of choice will be face recognition,
but this document also provides guidance for other modalities such as gait recognition.
This document:
— defines the key terms for use in the specification of biometric technologies in a VSS, including
metrics for defining performance;
— provides guidance on selection of camera types, placement of cameras, image specification etc. for
the operation of a biometric recognition capability in conjunction with a VSS;
— provides guidance on the composition of the gallery (or watchlist) against which facial images from
the VSS are compared, including the selection of appropriate images of sufficient quality, and the
size of the gallery in relation to performance requirements;
— makes recommendations on data formats for facial images and other relevant information (including
metadata) obtained from video footage, used in watchlist images, or from observations made by
human operators;
— establishes general principles for supporting the operator of the VSS, including user interfaces
and processes to ensure efficient and effective operation, and highlights the need to have suitably
trained personnel;
— highlights the need for robust governance processes to provide assurance that the implemented
security, privacy and personal data protection measures specific to the use of biometric technologies
with a VSS (e.g. internationally recognizable signage) are fit for purpose, and that societal
considerations are reflected in the deployed system.
This document also provides information on related recognition and detection tasks in a VSS such as:
— estimation of crowd densities;
— determining patterns of movement of individuals;
— identification of individuals appearing in more than one camera;
— use of other biometric modalities such as gait or iris;
— use of specialized software to infer attributes of individuals, e.g. estimation of gender and age;
— interfaces to other related functionality, e.g. video analytics to measure queue lengths or to alert for
abandoned baggage.
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