Inertia Acceleration Based Moving Objects Estimation for Invading-Detection
| Autor: | Tien-Yu Feng, 馮天佑 |
|---|---|
| Rok vydání: | 2010 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 98 Video surveillance system is widely applied to public and privacy areas to detect invading object for safety or security purpose. The mechanism of current surveillance system is to detect invading object and trigger the warning system to catch people’s attention. It may take longer time from object invading to people’s disposition. To shorten the timing of detection, we present a new methodology for invading estimation of object moving. This methodology combines inertia acceleration and sampling limitation methods to estimate object moving. According to our experimental result, our methodology can perform quick response time and better moving detection accuracy. The proposed scheme provides a practical solution for surveillance system. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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