Presentation | 1998/10/15 Mesurement of Heavy Traffic in a Tunnel form Image Sequences Hideo Kuboyama, Shinji Ozawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Traffic measurement plays an important part in ITS (Intelligent Transport Systems) as an useful information for control centers and drivers. In this paper, we propose a method which detects vehicles and measures traffic from road images taken in a tunnel. In a tunnel, camera height is so low that vehicles often overlap each other when traffic is congested. And it is difficult to separate them. In this method, we detect vehicles from their horizontal edges and their left-side area. Then we count vehicles by tracking them during settled frames and using accumulated estimation. This algorithm is tested using traffic images in a tunnel. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Traffic Measurement / Heavy Traffic / Vehicle Tracking / Edge / Image Sequences |
Paper # | PRMU98-100 |
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Committee | PRMU |
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Conference Date | 1998/10/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Mesurement of Heavy Traffic in a Tunnel form Image Sequences |
Sub Title (in English) | |
Keyword(1) | Traffic Measurement |
Keyword(2) | Heavy Traffic |
Keyword(3) | Vehicle Tracking |
Keyword(4) | Edge |
Keyword(5) | Image Sequences |
1st Author's Name | Hideo Kuboyama |
1st Author's Affiliation | Faculty of Science and Technology Keio University() |
2nd Author's Name | Shinji Ozawa |
2nd Author's Affiliation | Faculty of Science and Technology Keio University |
Date | 1998/10/15 |
Paper # | PRMU98-100 |
Volume (vol) | vol.98 |
Number (no) | 334 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |