Scene clustering with Multiple Non-Calibrated Cameras

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著者

抄録

We propose a new scene clustering method for multiple fixed cameras that spread widely over daily scenes. The cameras do not need to be calibrated or to overlap with each other. Our new method utilizes regions of interest (ROIs) in multi-view images extracted using our previously described method. The scene clustering method discriminates between all possible events by checking snapshots observed in the extracted ROIs in the multiple views of the cameras. The advantage of our method is that it only requires a set of video data, and does not need to know the camera locations. We implemented a preliminary surveillance camera system with 35 cameras, and experiments confirmed the utility of the proposed method.

収録刊行物

  • 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

    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 106(376), 43-48, 2006-11-17

    一般社団法人電子情報通信学会

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各種コード

  • NII論文ID(NAID)
    110005717922
  • NII書誌ID(NCID)
    AN10541106
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09135685
  • NDL 記事登録ID
    8571452
  • NDL 雑誌分類
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL 請求記号
    Z16-940
  • データ提供元
    CJP書誌  NDL  NII-ELS 
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