G. Abbattista, M. Chimienti, V. Dentamaro, P. Giglio, D. Impedovo, G. Pirlo, Giacomo Rosato
{"title":"A biometric-based system for unsupervised anomaly behaviour detection at the pawn shop","authors":"G. Abbattista, M. Chimienti, V. Dentamaro, P. Giglio, D. Impedovo, G. Pirlo, Giacomo Rosato","doi":"10.1080/23335777.2022.2104379","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article shows a system performing re-identification and description of people entering different stores of the same franchise by means of Face Recognition, Gait Analysis, and Soft Biometrics techniques. Additionally, an anomaly detection analysis is conducted to identify suspicious behavioral patterns.It has been tested on an ad-hoc dataset of a set of pawn shops of a local franchise.The registered users paths have been human labelled as ‘normal’ or ‘abnormal’ achieving a precision of 100%, recall of 72.72%, and an average accuracy of 96.39%.The system is able to report anomalies to support decisions in a context of a security monitoring system..","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"20 1","pages":"338 - 356"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23335777.2022.2104379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT This article shows a system performing re-identification and description of people entering different stores of the same franchise by means of Face Recognition, Gait Analysis, and Soft Biometrics techniques. Additionally, an anomaly detection analysis is conducted to identify suspicious behavioral patterns.It has been tested on an ad-hoc dataset of a set of pawn shops of a local franchise.The registered users paths have been human labelled as ‘normal’ or ‘abnormal’ achieving a precision of 100%, recall of 72.72%, and an average accuracy of 96.39%.The system is able to report anomalies to support decisions in a context of a security monitoring system..
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
