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      Ses ve video işaretlerinde saklı markof modeli tabanlı düşen kişi tespiti

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      Author
      Töreyin, B. Uğur
      Dedeoğlu, Yiğithan
      Çetin, A. Enis
      Date
      2006-04
      Source Title
      IEEE 14th Signal Processing and Communications Applications Conference, 2006
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Automatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance systems. Human motion in video is modeled using Hidden Markov Models (HMM) in this paper. In addition, the audio track of the video is also used to distinguish a person simply sitting on a floor from a person stumbling and falling. Most video recording systems have the capability of recording audio as well and the impact sound of a falling person is also available as an additional clue. Audio channel data based decision is also reached using HMMs and fused with results of HMMs modeling the video data to reach a final decision. © 2006 IEEE.
      Keywords
      Audio channel data
      Audio tracks
      CCTV surveillance systems
      Video recording systems
      Closed circuit television systems
      Computer simulation
      Problem solving
      Video recording
      Hidden Markov models
      Permalink
      http://hdl.handle.net/11693/27168
      Published Version (Please cite this version)
      https://doi.org/10.1109/SIU.2006.1659753
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      • Department of Computer Engineering 1368
      • Department of Electrical and Electronics Engineering 3524
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