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適応的特徴選択を用いた入退室する人物の対応付け(一般セッション,文字・文書の認識と理解)
http://hdl.handle.net/2237/23843
http://hdl.handle.net/2237/238436c7d617c-dcda-41db-99fc-12973a9e55f1
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2016-03-15 | |||||
タイトル | ||||||
タイトル | 適応的特徴選択を用いた入退室する人物の対応付け(一般セッション,文字・文書の認識と理解) | |||||
言語 | ja | |||||
その他のタイトル | ||||||
その他のタイトル | Person Re-identification at a Room Entrance by Adaptive Feature Selection | |||||
言語 | en | |||||
著者 |
本田, 拓也
× 本田, 拓也× 出口, 大輔× 高橋, 友和× 井手, 一郎× 村瀬, 洋× HONDA, Takuya× DEGUCHI, Daisuke× TAKAHASHI, Tomokazu× IDE, Ichiro× MURASE, Hiroshi |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | ja | |||||
権利情報 | (c)一般社団法人電子情報通信学会 本文データは学協会の許諾に基づきCiNiiから複製したものである | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 人物対応付け | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 監視カメラ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 画像特徴 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 人流解析 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 滞在時間 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Person Re-identification | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Surveillance camera | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Image feature | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Time of stay | |||||
抄録 | ||||||
内容記述 | カメラ映像を用いて,部屋に入退室する人物を対応付ける手法を提案する.その際,在室者に応じた適応的な特徴選択を行うことで,高精度な入退室人物間の対応付けを行った.近年,マーケティングを目的とした映像の解析では,美術館やコンビニエンスストアなど,不特定多数の人物が出入りする場の人流解析技術が重要となってきている.例えば,出入口を入退室する人物映像からの平均滞在時間の算出などが挙げられる.こういった情報は,部屋に入室する人物と退室する人物を対応付けることで得られる.しかし,服装の類似した人物が多数存在する場合,単純に色のみでは正しい対応付けを行うことが難しい.そこで本研究では,人物間の局所的な見えの違いに注目し,在室者に応じて対応付けに有効な画像特徴を適応的に選択することにより,対応付け精度の向上を図る.本稿では,適応的特徴選択を利用した特徴の評価実験,および,8日分の入退室映像からの滞在時間や入退室人数の算出実験により,手法の有効性を確認した. | |||||
言語 | ja | |||||
内容記述タイプ | Abstract | |||||
抄録 | ||||||
内容記述 | This paper proposes a method to re-identify people at a room entrance from a surveillance video. The method allows us to re-identify people in high precision by adaptively selecting features according to the individuals in the room. Recently in the field of a video analysis for marketing, flow analysis of customers is important. It is used in a place such as convenience stores and museums, where an arbitrary number of customers enter and exit ; For example, it can be used for measuring the mean time of stay by monitoring the entrance. Such information can be obtained by re-identifying the individuals (entering and exiting the room) using color features. However, in the case that multiple individuals are dressed in similar colors, it is difficult to re-identify them correctly with only the color features. Therefore, focusing on the difference in local features, the person re-identification accuracy is improved by selecting features effective for re-identification per individual. In this paper, we show the experimental results for evaluating adaptive feature selection. We also measured the number of entry/exit events, and the time of stay for each individual from a 8 days video by using the proposed method. From these, the effectiveness of the proposed method was confirmed. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
内容記述 | ||||||
内容記述 | IEICE Technical Report;PRMU2010-279 | |||||
言語 | en | |||||
内容記述タイプ | Other | |||||
出版者 | ||||||
言語 | ja | |||||
出版者 | 一般社団法人電子情報通信学会 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
関連情報 | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://ci.nii.ac.jp/naid/110008690150/ | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 0913-5685 | |||||
書誌情報 |
ja : 電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解 巻 110, 号 467, p. 247-252, 発行日 2011-03-03 |
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著者版フラグ | ||||||
値 | publisher | |||||
シリーズ | ||||||
関連名称 | IEICE Technical Report;PRMU2010-279 | |||||
URI | ||||||
識別子 | http://ci.nii.ac.jp/naid/110008690150/ | |||||
識別子タイプ | URI | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/23843 | |||||
識別子タイプ | HDL |