Scene clustering with Multiple Non-Calibrated Cameras

Search this Article

Author(s)

Abstract

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.

Journal

  • IEICE technical report

    IEICE technical report 106(376), 43-48, 2006-11-17

    The Institute of Electronics, Information and Communication Engineers

References:  12

Codes

  • NII Article ID (NAID)
    110005717922
  • NII NACSIS-CAT ID (NCID)
    AN10541106
  • Text Lang
    ENG
  • Article Type
    ART
  • ISSN
    09135685
  • NDL Article ID
    8571452
  • NDL Source Classification
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL Call No.
    Z16-940
  • Data Source
    CJP  NDL  NII-ELS 
Page Top