Abstract
This demo presents a working prototype of a live video surveillance IoT system that provides multi-class privacy preservation. The system can use a Raspberry Pi or a laptop to perform real-time face detection, compression and encryption on live video feeds. We design and implement novel methods to accelerate face detection and reduce miss detection for fast moving subjects. The implemented prototype demonstrates the feasibility to provide multi-class privacy-preserving feature and fine-grained access control of video content for real-time IoT applications.
| Original language | English |
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| Title of host publication | MobiSys '23 : Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services |
| Number of pages | 2 |
| Place of publication | New York |
| Publisher | Association for Computing Machinery |
| Publication date | 18 Jun 2023 |
| Pages | 594–595 |
| ISBN (Electronic) | 979-8-4007-0110-8 |
| DOIs | |
| Publication status | Published - 18 Jun 2023 |
| Event | The 21st ACM International Conference on Mobile Systems, Applications, and Services. - Porthania building of the University of Helsinki, Helsinki, Finland Duration: 18 Jun 2022 → 22 Jun 2022 https://www.sigmobile.org/mobisys/2023/ |
Conference
| Conference | The 21st ACM International Conference on Mobile Systems, Applications, and Services. |
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| Location | Porthania building of the University of Helsinki |
| Country/Territory | Finland |
| City | Helsinki |
| Period | 18/06/2022 → 22/06/2022 |
| Internet address |
| Series | Conference proceedings (International Conference on Mobile Systems, Applications, and Services) |
|---|---|
| ISSN | 1931-0137 |
Keywords
- live video compression
- multi-class privacy-preserving
- secure video surveillance