A Multiple People Tracking System Based on an Omni-directional Camera and Model Comparing in an Indoor Environment
| Autor: | Chung-Nan Chang, 張中南 |
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| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 The need of surveillance system for human beings always exists after the invention of cameras. We are interested in using the images captured by cameras effectively in order to reduce the uncomfortableness of people being monitored by many spotters on the scene, and keep on monitoring the dead zones that are easily overlooked by the spotters. Thus it is a very important issue to correctly track and lock on each target. The system uses an omni-directional (OD) camera having a 360-degree viewing angle. The OD camera is usually placed at higher place (such as ceiling). Thus, comparing with a traditional camera, an OD camera is less likely to cause a total occlusion, and it also has fewer dead zones. The surveillance coverage of an OD camera is also larger than that of a traditional camera. A surveillance area monitored by 2 or 3 cameras in the past can be done by one OD camera now. The method used in this thesis for identifying multiple people during tracking can avoid the error caused by using traditional methods (such as Kalman Filtering) when OD images are considered. We use a model comparing method which is simple and fast to identify an individual target. We also use a 2-dimesional Gaussian filter to avoid the influence by the background part of the OD image and the different motions associated with each person during walking. The system also combines a personal information system and labels the targets with their entering orders and their personal information. The experimental results show that the system proposed in this thesis can track and identify people effectively and continuously. It is not easy to cause identification errors when people are walking crossover to each other, resulting in more than 90% recognition accuracy. The system can be combined with a face recognition system, a Multi-View method, or other positioning equipments. Then the accuracy of the system can be increased, and the system can locate people more precisely in the surveillance area. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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