碩士 / 國立高雄科技大學 / 電腦與通訊工程系 / 107 / In this paper, we use particle filters for real-time detection and tracking technology. The particle filter algorithm is applied to the successful experience of machine learning. For the nonlinear dynamics of the offshore floating ball, the trajectory tracking and detection of the tsunami is carried out by means of camera image objects. The computer vision image tracking and recognition technology has been successfully applied to the detection and recognition of rapid object movement by the automatic driving system. The floating ball is monitored by photography and the particle filter algorithm is used to automatically perform real-time tracking and track detection, and automatically The measured horizontal trajectory is immediately compared, and the abnormal elevation of sea level can be detected and detected in time, and the tsunami warning is activated to assist the coastal personnel to evacuate in time. In the coastal areas, cameras are set up to monitor offshore floats, and automatic tsunami monitoring is performed by particle filter's real-time detection and tracking technology. The cost is low, equipment maintenance is easy, and the tsunami warning performance of offshore is effectively improved.
| Identifer | oai:union.ndltd.org:TW/107NKUS0650035 |
| Date | January 2019 |
| Creators | Hsu, Wen-Xin, 許文馨 |
| Contributors | Hau, Miin-Jong, 郝敏忠 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 27 |
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