Abstract
Cameras are easy targets for theft. They are expensive, small, usually carried in the open, and not easily identifiable when stolen. Unlike cell phones, cameras typically do not have passwords or other login procedures, so the full functionality is generally available to anyone with physical access to the camera, and stolen cameras behave indistinguishably from ones operated by their legitimate owners. The current work examines various methods for making cameras less attractive targets for theft without significantly increasing either camera cost or the complexity of the user interface and interactions. Many of the new methods use various forms of anomalous behavior identification to enable the camera to passively recognize when it is likely that the person operating the camera is not the owner.
Original language | English |
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Article number | 382 |
Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
Volume | 35 |
Issue number | 4 |
DOIs | |
State | Published - 2023 |
Event | IS and T International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics, MWSF 2023 - San Francisco, United States Duration: Jan 15 2023 → Jan 19 2023 |
Bibliographical note
Publisher Copyright:© 2023 Society for Imaging Science and Technology. All rights reserved.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics