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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Challa, S. Aboura, K. Ravikanth, K. Deshpande, S. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Technol. Sydney, Sydney (Challa, S.; Aboura, K.; Ravikanth, K.; Deshpande, S.) |
| Abstract | Real time pedestrian flow information and the count of people in determined areas is essential for a multitude of management and monitoring functions. The range of applications is wide and the focus here is on the development of statistical methods for people volume estimation in buildings. To count people, visual information from surveillance cameras is used. This is the first of a series of reports, where the problem is divided in estimation classes of increasing difficulty. In the initial stage, probability models are derived for the basic counting scenario, using data gathered from a single camera. The methodology is extended to more complex problems, making use of several cameras covering the same field of view. The consideration of all possible classes of estimation problems leads to solutions that culminate in the assessment of the total number of people in a building. |
| Starting Page | 124 |
| Ending Page | 129 |
| File Size | 289925 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424409012 |
| DOI | 10.1109/IDC.2007.374537 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-02-12 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Surveillance Probability Buildings Statistical analysis Bayesian methods Monitoring Open systems Control systems Sensor systems Non-Homogeneous Counting Processes Visual Surveillance Crowd Estimation Fusion of Information Bayesian Estimation |
| Content Type | Text |
| Resource Type | Article |
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