Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40381-1_14 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Subject Reacquisition,Time-of-Flight,CCTV Surveillance,Event Reasoning,Revision | Facial recognition system,Computer science,Artificial intelligence,Criminal behaviour,Airport security,Machine learning,Scalability | Conference |
Volume | ISSN | Citations |
8078 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 22 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianbing Ma | 1 | 242 | 15.73 |
| Weiru Liu | 2 | 1597 | 112.05 |
| Paul C. Miller | 3 | 201 | 12.04 |
| Fabian Campbell-West | 4 | 2 | 0.74 |