Unattended Baggage: Monitoring in Public Stations

Le The Bach, Ngo and Mutaher, Hamza (2025) Unattended Baggage: Monitoring in Public Stations. In: Innovations and Challenges in Computing, Games, and Data Science. IGI Global, pp. 329-348. ISBN 9798337326498

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Abstract

Any unattended baggage in public stations is believed to be considered as a threat to citizens. Fortunately, identification of such objects is one of computer vision problem which can be solved by AI and ML algorithm. Therefore, the need for accuracy and real-time application to increase safety in public places such as airports, train stations is mandatory. The chapter explores an automated framework of unattended baggage detection for video surveillance, and the stages of developing an algorithm. The various methods of performing data processing and feature selection are highlighted in this literature review.

Item Type:	Book Section
Identification Number:	10.4018/979-8-3373-2647-4.ch020
Dates:	Date Event 9 May 2025 Published
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Architecture, Built Environment, Computing and Engineering > Computer Science
Depositing User:	Gemma Tonks
Date Deposited:	15 Aug 2025 12:32
Last Modified:	15 Aug 2025 12:32
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16592

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