Anomaly detection in surveillance videos

A tétel rövid nézete
dc.contributor.advisorFazekas, Attila
dc.contributor.authorAggrey, Eric Majuk
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2019-05-06T14:35:04Z
dc.date.available2019-05-06T14:35:04Z
dc.date.created2019
dc.description.abstractThe main task of this thesis is to review anomaly detection methods and then demonstrate the use of a state of the art approach to detect nudity as an anomaly in a surveillance video. The following contributions were made. One, the identified problem of anomaly detection based on nudity was solved by exploring methods in the reviewed literature. A model was developed and trained on a dataset. Furthermore, the trained model was used to develop a video-based anomaly detection application that could recognize normal and anomaly contained frames in surveillance video.hu_HU
dc.description.correctorN.I.
dc.description.courseComputer Sciencehu_HU
dc.description.degreeMSc/MAhu_HU
dc.format.extent46hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/266988
dc.language.isoenhu_HU
dc.subjectAnomaly Detectionhu_HU
dc.subjectDeep Learninghu_HU
dc.subjectNeural Networkshu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleAnomaly detection in surveillance videoshu_HU
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