A biometric-based system for unsupervised anomaly behaviour detection at the pawn shop

被引：0

作者：

Abbattista G. ^{[1
]}

Chimienti M. ^{[2
]}

Dentamaro V. ^{[1
]}

Giglio P. ^{[1
]}

Impedovo D. ^{[1
,3
]}

Pirlo G. ^{[1
,3
]}

Rosato G. ^{[4
]}

机构：

[1] Department. Of Computer Science, University of Bari, Bari

[2] Key4 srl–Contrada Baione sn, Monopoli

[3] Digital Innovation S.r.l, Bari

[4] Azzurro S.r.l, Bari

来源：

Cyber-Physical Systems | 2023年 / 9卷 / 04期

关键词：

anomaly detection; computer vision; face recognition; gait recognition; re-identification; soft biometric;

D O I：

10.1080/23335777.2022.2104379

中图分类号：

学科分类号：

摘要：

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. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：338 / 356

页数：18

共 36 条

[1]

Teichmann E F.M.J., Falker M.C., Money laundering–the gold method, J Money Laund Control, (2020)

[2]

Cao Z., Hidalgo G., Simon E T., Et al., OpenPose: realtime multi-person 2D pose estimation using part affinity fields, Proceedings of the IEEE conference on computer vision and pattern recognition, (2018)

[3]

Dentamaro V., Convertini V.N., Galantucci S., Et al., Ensemble consensus: an unsupervised algorithm for anomaly detection in network security data, ITASEC, pp. 309-318, (2021)

[4]

Viola E P., Jones M., Rapid object detection using a boosted cascade of simple features, Comput Vision Pattern Recognit, 1, (2001)

[5]

Liu W., Anguelov D., Erhan D., Et al., Ssd: single shot multibox detector, European Conference on Computer Vision (ECCV), pp. 21-37, (2016)

[6]

Mita T., Kaneko E T., Hori O., Joint haar-like features for face detection, Proceedings of the Tenth IEEE International Conference on Computer Vision, (2005)

[7]

Luttrell J.B., Zhou Z., Zhang C., Et al., Facial recognition via transfer learning: fine-tuning keras-vggface, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI, pp. 576-579, (2017)

[8]

Jiao Z., Qiao F., Yao N., Et al., An ensemble of VGG networks for video-based facial expression recognition, 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia, (2018)

[9]

Muro-De-La-Herran A., Garcia-Zapirain E B., Mendez-Zorilla A., Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications, Sensors, 14, 2, pp. 3362-3394, (2014)

[10]

Wu Z., Huang Y., Wang L., Et al., A comprehensive study on cross-view gait based human identification with deep CNNs, IEEE Trans Pattern Anal Mach Intell, 39, 2, pp. 209-226, (2017)

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