Object Tracking with Single PTZ Camera Based on the Integration of Object Detection and SURF Point Tracking
| Autor: | Chien-Hsiang Wang, 王建翔 |
|---|---|
| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 In recent years, the researches about video surveillance for constructing security environment and ecological investigation are highly demanded. In the video surveillance, the PTZ cameras are often applied to extract the close-up views by controlling the pan, tilt, and zoom operations in large area. In this study, we develop a robust target tracking with single PTZ camera in which the targets are tracked with integration of object detection and SURF point tracking. First, we use the object detection method without background modeling to detect the interested object in the specified area. Second, the SURF-based target tracking scheme is used for object tracking. The proposed SURF-based target tracking scheme is established by integrating the SURF points updating and resampling methods. Finally, the PTZ camera is controlled with the pan, tilt, and zoom operations to make the target locating stably in the image center position. The experiment results show that the accuracy of SURF-based object tracking is about 86% and the efficiency can approach 15 fps. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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