SVM-Based Helmet Wearing Detection System
碩士 === 中華大學 === 電機工程學系 === 106 === This paper is mainly to design a low-cost, highly practical helmet wear system. When a character enters the screen, it will automatically start detecting whether the character has a hard hat for determining whether there is a suspicious person wearing a shelter in...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/pxv9a8 |
| Summary: | 碩士 === 中華大學 === 電機工程學系 === 106 === This paper is mainly to design a low-cost, highly practical helmet wear system. When a character enters the screen, it will automatically start detecting whether the character has a hard hat for determining whether there is a suspicious person wearing a shelter in the building.
The system is built on a desktop computer and uses Webcam as an image capture device to reduce cost and improve practicability. The adaptive Gaussian mixture model foreground extraction method enables the system to be executed in a complex background environment, using image processing and SVM technologies, to achieve image identification, the ultimate goal is to help protect personnel and reduce human negligence so that suspicious people can be detestable.
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