Estimating Anthropometric Soft Biometrics:An Empirical Method  

作　　者：Bilal Hassan Hafiz Husnain Raza Sherazi Mubashir Ali Yusra Siddiqi 

机构地区：[1]Engineering&Environment,Northumbria University,London Campus,London,E17HT,UK [2]School of Computing and Engineering,University of West London,London,W55RF,UK [3]School of Computer Science,University of Birmingham,Birmingham,B152TT,UK

出　　处：《Intelligent Automation & Soft Computing》2023年第9期2727-2743,共17页智能自动化与软计算（英文）

摘　　要：Following the success of soft biometrics over traditional biomet-rics,anthropometric soft biometrics are emerging as candidate features for recognition or retrieval using an image/video.Anthropometric soft biometrics uses a quantitative mode of annotation which is a relatively better method for annotation than qualitative annotations adopted by traditional biometrics.However,one of the most challenging tasks is to achieve a higher level of accuracy while estimating anthropometric soft biometrics using an image or video.The level of accuracy is usually affected by several contextual factors such as overlapping body components,an angle from the camera,and ambient conditions.Exploring and developing such a collection of anthropometric soft biometrics that are less sensitive to contextual factors and are relatively easy to estimate using an image or video is a potential research domain and it has a lot of value for improved recognition or retrieval.For this purpose,anthro-pometric soft biometrics,which are originally geometric measurements of the human body,can be computed with ease and higher accuracy using landmarks information from the human body.To this end,several key contributions are made in this paper;i)summarizing a range of human body pose estimation tools used to localize dozens of different multi-modality landmarks from the human body,ii)a critical evaluation of the usefulness of anthropometric soft biometrics in recognition or retrieval tasks using state of the art in the field,iii)an investigation on several benchmark human body anthropometric datasets and their usefulness for the evaluation of any anthropometric soft biometric system,and iv)finally,a novel bag of anthropometric soft biomet-rics containing a list of anthropometrics is presented those are practically possible to measure from an image or video.To the best of our knowledge,anthropometric soft biometrics are potential features for improved seamless recognition or retrieval in both constrained and unconstrained scenarios and they also minimi

关 键 词：ANTHROPOMETRICS soft biometrics landmark localization estimation 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]