Abstract
CCTV systems are broadly deployed in the present world. Despite this, the impact on anti-social and criminal behaviour has been minimal. Subject reacquisition is a fundamental task to ensure in-time reaction for intelligent surveillance. However, traditional reacquisition based on face recognition is not scalable, hence in this paper we use reasoning techniques to reduce the computational effort which deploys the time-of-flight information between interested zones such as airport security corridors. Also, to improve accuracy of reacquisition, we introduce the idea of revision as a method of post-processing. We demonstrate the significance and usefulness of our framework with an experiment which shows much less computational effort and better accuracy.
| Original language | English |
|---|---|
| Title of host publication | Scalable Uncertainty Management |
| Subtitle of host publication | 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings |
| Editors | Weiru Liu, V. S. Subrahmanian, Jef Wijsen |
| Publisher | Springer |
| Pages | 176-189 |
| Number of pages | 14 |
| ISBN (Electronic) | 9783642403811 |
| ISBN (Print) | 9783642403804 |
| DOIs | |
| Publication status | Published - 1 Sept 2013 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Berlin Heidelberg |
| Volume | 8073 |
| ISSN (Print) | 0302-9743 |
Research Groups and Themes
- Jean Golding
Keywords
- Subject Reacquisition
- Time-of-Flight
- CCTV Surveillance
- Event Reasoning
- Revision
Access to Document
- Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer at http://link.springer.com/chapter/10.1007%2F978-3-642-40381-1_14. Please refer to any applicable terms of use of the publisher.