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dc.contributor.authorJansson, Andreas Dyrøy
dc.contributor.authorBremdal, Bernt Arild
dc.contributor.authorRemman, Espen
dc.date.accessioned2024-01-29T13:39:32Z
dc.date.available2024-01-29T13:39:32Z
dc.date.issued2023-09-22
dc.description.abstractThis paper examines the current state-of-the-art in object tracking and detection in the context of baggage handling systems using a variety of technologies, with special interest in image classification. Data collection at Tromsø Airport using simple and inexpensive equipment in order to capture images of different types of luggage will be described. Furthermore, a selection of three relevant techniques for image classification will be investigated, and experiments will be conducted to detect irregular and potentially problematic bags in the collected dataset. Finally, recommendations for use cases and an interface to an intelligent baggage handling system will be proposed.en_US
dc.identifier.citationJansson AD, Bremdal BA, Remman: Irregular luggage classification experiments using data from Tromsø airport. In: IEEE .. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) , 2023. IEEE conference proceedingsen_US
dc.identifier.cristinIDFRIDAID 2209730
dc.identifier.doi10.1109/ICECCME57830.2023.10252185
dc.identifier.isbn979-8-3503-2297-2
dc.identifier.urihttps://hdl.handle.net/10037/32759
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleIrregular luggage classification experiments using data from Tromsø airporten_US
dc.type.versionacceptedVersionen_US
dc.typeChapteren_US
dc.typeBokkapittelen_US


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