期刊論文
| 學年 | 88 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 1999-12-01 |
| 作品名稱 | Design of networked visual monitoring systems |
| 作品名稱（其他語言） | |
| 著者 | 郭經華; Kuo, Chin-hwa; Wang, Tay-shen; Wu, Ping-huang |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | 淡江大學 |
| 著錄名稱、卷期、頁數 | 淡江理工學刊=Tamkang journal of science and enginnering 2(3), p.149-161 |
| 摘要 | We design and implement a networked visual monitoring system for surveillance. Instead of the usual periodical monitoring, the proposed system has an auto-tracking feature which captures the important characteristics of intruders. We integrate two schemes, namely, image segmentation and histogram comparison, to accomplish auto-tracking. The developed image segmentation scheme is able to separate moving objects from the background in real time. Next, the corresponding object centroid and boundary are computed. This information is used to guide the motion of tracking camera to track the intruders and then to take a series of shots, by following a predetermined pattern. We have also developed a multiple objects tracking scheme, based on object color histogram comparison, to overcome object occlusion and disocclusion issues. The designed system can track multiple intruders or follow any particular intruder automatically. To achieve efficient transmission and storage, the captured video is compressed in the H.263 format. Query based on time as well as events are provided. Users can access the system from web browsers to view the monitoring site or manipulate the tracking camera on the Internet. These features are of importance and value to surveillance. |
| 關鍵字 | Cameras;Tracking;Voice mail;Histograms;Remote monitoring;Computerized monitoring;Real time systems;Surveillance;Image segmentation;Object segmentation |
| 語言 | en |
| ISSN | 1560-6686 |
| 期刊性質 | 國內 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46456 ) |