An Abnormal Object Retrieval Method for the Surveillance Video Database
碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 95 === In the traditional surveillance system, the search of suspects in the video tapes has to be monitored by human and is always time consuming. In this thesis, we propose a new video indexing and retrieval mechanism for surveillance video database. This mechanism...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/84jfx9 |
| Summary: | 碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 95 === In the traditional surveillance system, the search of suspects in the video tapes has to be monitored by human and is always time consuming. In this thesis, we propose a new video indexing and retrieval mechanism for surveillance video database. This mechanism detects abnormal events by using background subtraction method, extracts representative images of abnormal objects by our key frame extraction method, and stores these information into the surveillance video database. When searching for the abnormal suspects in the database, user can select an object by specifying a region of interesting in an image. The Select object can be compared with these abnormal objects in the database by the color-based similarity measure method.
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