Resolving the ambiguity of real-time multiple object tracking using static cameras
| Autor: | Ahmed I. Saleh, Amany Sarhan, R. K. Elsadek |
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| Rok vydání: | 2011 |
| Předmět: |
Background subtraction
General Computer Science Workstation business.industry Computer science Event (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Tracking system Kalman filter Object (computer science) Tracking (particle physics) law.invention law Video tracking Computer vision Artificial intelligence business |
| Zdroj: | International Journal of Intelligent Systems Technologies and Applications. 10:396 |
| ISSN: | 1740-8873 1740-8865 |
| Popis: | Recently, because of its importance in computer vision and surveillance systems, object tracking has progressed rapidly. In this paper a novel strategy for tracking multiple objects using static cameras is introduced, which can be used to grant a cheap, easy installation, and robust tracking system. The proposed tracking strategy is based on scenes captured by static video cameras. Each camera is attached to a workstation that analyses its stream. All workstations are connected to a tracking server, which harmonises the system, collects the data, and creates the output spatial-tempo database. Our contribution comes in two issues. The first is to present a new methodology for transforming the image coordinates of an object to its real coordinates. The second is to offer a flexible event-based object tracking strategy, which has been tested over a CAD of soccer game environment. Preliminary experimental results show the robust performance of the proposed tracking strategy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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