University of Twente Student Theses
Proposing an ontology for human-related crime recognition in videos
Strijbosch, D. (2022) Proposing an ontology for human-related crime recognition in videos.
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| Abstract: | Video surveillance has been around for a very long time and, throughout the years of its existence, it has seen a large growth in popularity. However, due to this increase in produced footage, manual monitoring is not always an option. This paper introduces a framework that groups crime and provides a classification of different relevant aspects, such as location and demeanor of the suspect. This so-called ontology of crime, in the form of a semantic tree, is then used to build a model upon the existing ResNet50 model. The proposed model achieves an accuracy of 37.7% compared to 34.4% accuracy of the regular ResNet50 model. Furthermore, an implementation where multiple frames are used to classify one instance of crime is shown. As well as an implementation of a threshold, that filters out low quality frames during the classification process |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/91759 |
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