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dc.contributor.authorFernández Rodríguez, José David
dc.contributor.authorGarcía-González, Jorge
dc.contributor.authorBenítez-Rochel, Rafaela 
dc.contributor.authorMolina-Cabello, Miguel Ángel 
dc.contributor.authorRamos-Jiménez, Gonzalo Pascual 
dc.contributor.authorLópez-Rubio, Ezequiel 
dc.date.accessioned2024-02-09T07:04:15Z
dc.date.available2024-02-09T07:04:15Z
dc.date.created2024
dc.date.issued2023-05-10
dc.identifier.citationFernández-Rodríguez, J. D., García-González, J., Benítez-Rochel, R., Molina-Cabello, M. A., Ramos-Jiménez, G., & López-Rubio, E. (2023). Automated detection of vehicles with anomalous trajectories in traffic surveillance videos. Integrated Computer-Aided Engineering, 30(3), 293–309.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/30222
dc.description.abstractVideo feeds from traffic cameras can be useful for many purposes, the most critical of which are related to monitoring road safety. Vehicle trajectory is a key element in dangerous behavior and traffic accidents. In this respect, it is crucial to detect those anomalous vehicle trajectories, that is, trajectories that depart from usual paths. In this work, a model is proposed to automatically address that by using video sequences from traffic cameras. The proposal detects vehicles frame by frame, tracks their trajectories across frames, estimates velocity vectors, and compares them to velocity vectors from other spatially adjacent trajectories. From the comparison of velocity vectors, trajectories that are very different (anomalous) from neighboring trajectories can be detected. In practical terms, this strategy can detect vehicles in wrong-way trajectories. Some components of the model are off-the-shelf, such as the detection provided by recent deep learning approaches; however, several different options are considered and analyzed for vehicle tracking. The performance of the system has been tested with a wide range of real and synthetic traffic videos.es_ES
dc.language.isoenges_ES
dc.publisherIOS Presses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectVideovigilancia electrónicaes_ES
dc.subjectVisión artificial (Robótica)es_ES
dc.subjectDemodulación (Electrónica)es_ES
dc.subject.otherAnomaly detectiones_ES
dc.subject.otherVideo surveillancees_ES
dc.subject.otherObject trackinges_ES
dc.subject.otherObject detectiones_ES
dc.subject.otherDeep learninges_ES
dc.titleAutomated detection of vehicles with anomalous trajectories in traffic surveillance videos.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.3233/ICA-230706
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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