Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection
碩士 === 國立臺灣科技大學 === 電機工程系 === 98 === Due to the threat of terrorism and increasing crime recently. The visual surveillance systems are widely applied in public spaces. In this thesis, we provide a solution which can detect the owner of abandoned object and stolen object automatically. Different from...
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ndltd-TW-098NTUS54420532016-04-22T04:23:46Z http://ndltd.ncl.edu.tw/handle/03356403853138366187 Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection 智慧型公共安全監控系統之遺留物持有者和遺失物擷取者偵測 Yu-hong Chen 陳昱宏 碩士 國立臺灣科技大學 電機工程系 98 Due to the threat of terrorism and increasing crime recently. The visual surveillance systems are widely applied in public spaces. In this thesis, we provide a solution which can detect the owner of abandoned object and stolen object automatically. Different from previous works on this topic which are mostly limited to detecting abandoned object and stolen object. The proposed system is not only find out event’s owner but also capture key frame of abandoned and stolen event. Therefore, we will combine TI TMS320DM642 evaluation module with dual-camera module that can detect owner of abandoned object and stolen object. The field camera is responsible for detecting the owner of abandoned and stolen object. via coordinates transformation. The PTZ camera can be guided to track event’s owner. Consequently, the surveillant can monitor the environment remotely via the internet transmission. They can also select for many functions in the user interface. For instance, control the PTZ camera to track the static object or moving owner, and change key frame in different event. Hence, developing an intelligent public surveillance system for detecting the ownership of abandoned object and stolen object. Chau-Ren Tsai 蔡超人 2010 學位論文 ; thesis 108 zh-TW |
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碩士 === 國立臺灣科技大學 === 電機工程系 === 98 === Due to the threat of terrorism and increasing crime recently. The visual surveillance systems are widely applied in public spaces. In this thesis, we provide a solution which can detect the owner of abandoned object and stolen object automatically. Different from previous works on this topic which are mostly limited to detecting abandoned object and stolen object. The proposed system is not only find out event’s owner but also capture key frame of abandoned and stolen event. Therefore, we will combine TI TMS320DM642 evaluation module with dual-camera module that can detect owner of abandoned object and stolen object. The field camera is responsible for detecting the owner of abandoned and stolen object. via coordinates transformation. The PTZ camera can be guided to track event’s owner. Consequently, the surveillant can monitor the environment remotely via the internet transmission. They can also select for many functions in the user interface. For instance, control the PTZ camera to track the static object or moving owner, and change key frame in different event. Hence, developing an intelligent public surveillance system for detecting the ownership of abandoned object and stolen object.
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author2 |
Chau-Ren Tsai |
author_facet |
Chau-Ren Tsai Yu-hong Chen 陳昱宏 |
author |
Yu-hong Chen 陳昱宏 |
spellingShingle |
Yu-hong Chen 陳昱宏 Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection |
author_sort |
Yu-hong Chen |
title |
Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection |
title_short |
Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection |
title_full |
Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection |
title_fullStr |
Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection |
title_full_unstemmed |
Public Security Surveillance Systemsfor Ownership of Abandoned Object andStolen Object Detection |
title_sort |
public security surveillance systemsfor ownership of abandoned object andstolen object detection |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/03356403853138366187 |
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