University of Twente Student Theses
Automatic detection of photographing or filming
Chen, Zhiyuan (2020) Automatic detection of photographing or filming.
|
PDF
6MB |
| Abstract: | A wide use of cameras and portable devices with built in cameras such as smartphones and social media makes taking photos and sharing very easy, while unintentional capture of facial image brings privacy concerns. To detect photographing or filming, a detection model using the state of the art architecture of Faster R CNN is designed to detect camera objects on still images, which lays a foundation of the work of real time detection of photographing or filming. Choices such as selection of feature extractors, dataset selection and number of region proposals are made on different models. Each model is tested and evaluated concerning performance, false negative rate and bounding boxes etc. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 50 technical science in general, 54 computer science |
| Programme: | Creative Technology BSc (50447) |
| Link to this item: | https://purl.utwente.nl/essays/82513 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page