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Study on the Application of EfficientDet to Real-Time Classification of Infrared Images from Video Surveillance

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dc.contributor.authorMendes, Filipe
dc.contributor.authorFernades, Armando M.
dc.contributor.authorFernandes, Luis
dc.contributor.authorPiedade, Fernando
dc.contributor.authorChaves, Paulo
dc.date.accessioned2025-09-16T16:27:38Z
dc.date.available2025-09-16T16:27:38Z
dc.date.issued2022
dc.description.abstractThe monitoring of certain areas can be a tedious and non-interactive task that usually leads to some missed occurrences. With the development of object-detection models, this problem can be mitigated and reduced. In this paper, a rare application of EfficientDet model to the analysis of footage from an infrared camera in real-time is studied. The model will be used to detect deers, people and cars in images captured at the surroundings of a classified facility from where we do not yet have images available. Consequently, we show the process of creating the model and discuss the problems raised by the real-time performance limitations as well as by the available data limitations. The results obtained suggest that this kind of implementation has the potential to improve existing surveillance systems.eng
dc.identifier.citationF. Mendes, A. M. Fernandes, L. Fernandes, F. Piedade and P. Chaves, "Study on the Application of EfficientDet to Real-Time Classification of Infrared Images from Video Surveillance," 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 2022, pp. 1-6
dc.identifier.doi10.1109/ICECET55527.2022.9872921
dc.identifier.urihttp://hdl.handle.net/10400.26/58686
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9872921
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectObject-Detection
dc.subjectAI
dc.subjectEfficientDet
dc.subjectInfrared
dc.subjectThermal
dc.subjectDeers
dc.titleStudy on the Application of EfficientDet to Real-Time Classification of Infrared Images from Video Surveillanceeng
dc.typeconference proceedings
dspace.entity.typePublication
oaire.citation.conferenceDate2022
oaire.citation.conferencePlacePrague, Czech Republic
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.title2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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