A Highway Surveillance System Using an HMM-Based Segmentation Method
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概要
- 論文の詳細を見る
Automatic traffic surveillance based on visual tracking techniques has been desired for many years. This paper proposes a basic highway surveillance system using an HMM-based segmentation method. The presented system meets the essential requirement of ITS: real-time running. Its another advantage is robustness to the shadows of moving objects, which have been recognized as one of main obstacles to robust car tracking. At present, using the system we can estimate velocity of vehicles with high accuracy. For acquiring metric information in the real world, the system does not require a precise calibration but only needs four point correspondences between the image plane and ground plane.
- 社団法人電子情報通信学会の論文
- 2002-11-01
著者
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Kato Jien
The Department Of Information Engineering Graduate School Of Engineering Nagoya University
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Hase Hiroyuki
Graduate Course Of Advanced Integration Science Chiba University
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Hase Hiroyuki
Computer Vision And Pattern Recognition Unit Indian Statistical Institute
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WATANABE TAKUMI
NTT Energy and Environment Systems Laboratories, NTT Corporation
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Watanabe Takumi
Ntt Energy And Environment Systems Laboratories Ntt Corporation
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WATANABE Toyohide
the Department of Information Engineering, Graduate School of Engineering, Nagoya University
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HASE Hiroyuki
the Faculty of Engineering, Toyama University
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HASE Hiroyuki
the Department of Information Engineering, Graduate School of Engineering, Nagoya University
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KATO Jien
the Faculty of Engineering, Toyama University
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