Estimating Number of People Using Calibrated Monocular Camera Based on Geometrical Analysis of Surface Area
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概要
- 論文の詳細を見る
We propose a novel technique for estimating the number of people in a video sequence; it has the advantages of being stable even in crowded situations and needing no ground-truth data. By analyzing the geometrical relationships between image pixels and their intersection volumes in the real world quantitatively, a foreground image directly indicates the number of people. Because foreground detection is possible even in crowded situations, the proposed method can be applied in such situations. Moreover, it can estimate the number of people in an a priori manner, so it needs no ground-truth data unlike existing feature-based estimation techniques. Experiments show the validity of the proposed method.
- （社）電子情報通信学会の論文
- 2009-08-01
著者
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KOIKE Hideki
NTT Cyber Space Laboratories, NTT Corporation
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HASEYAMA Miki
Graduate School of Information Science and Technology, Hokkaido University
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Miyagawa Isao
Ntt Cyber Space Laboratories Ntt Corporation
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Koike Hideki
Ntt Corp. Yokosuka‐shi Jpn
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Haseyama Miki
Graduate School Of Information Science And Technology Hokkaido University
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ARAI Hiroyuki
NTT Cyber Space Laboratories, NTT Corporation
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Miyagawa Isao
Ntt Corp.
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Haseyama Miki
Graduate School Of Engineering Hokkaido University
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Arai Hiroyuki
Ntt Cyber Space Laboratories Ntt Corporation
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