Inspected Regions Connection Using Multiple Cameras
碩士 === 國立交通大學 === 電機與控制工程系 === 91 === In this thesis, the road images are captured by a single surveillance camera, and the chromaticity color model of road is used to filter each pixel within region of interest (ROI) as a road or non-road. Then non-road pixels will be grouped into region...
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| Format: | Others |
| Language: | en_US |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/07918831496267136388 |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系 === 91 === In this thesis, the road images are captured by a single surveillance camera, and the chromaticity color model of road is used to filter each pixel within region of interest (ROI) as a road or non-road. Then non-road pixels will be grouped into regions and be identified as vehicles or not in the image. The total number of vehicles on the real road plane can be obtained to offer the vehicle density and flow rate for traffic control and management. The inspected range is often limited by using a single surveillance camera. Hence the proposed approach can extend inspected range of a single surveillance camera wider with multiple surveillance cameras. The rules of extend inspected range can be achieved by calculating the minimum distance of field of camera’s view according to cameras pose and the road geometry of flat road plane, upward road plane and downward road plane. The proposed approach is proven successful to combine two contiguous inspected regions, and can provide more completely traffic flow information for traffic control and management.
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