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Recognition of Events by Human Motion for Context-aware Computing

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(4), pp.47-57
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

최요환 1 SeongYoon Shin ORD ID 1 Chang Woo Lee 1

1군산대학교

Accredited

ABSTRACT

Event detection and recognition is an active and challenging topic recent in Computer Vision. This paper describes a new method for recognizing events caused by human motion from video sequences in an office environment. The proposed approach analyzes human motions using Motion History Image (MHI) sequences, and is invariant to body shapes, types or colors of clothes and positions of target objects. The proposed method has two advantages; one is thant the proposed method is less sensitive to illumination changes comparing with the method using color information of objects of interest, and the other is scale invariance comparing with the method using a prior knowledge like appearances or shapes of objects of interest. Combined with edge detection, geometrical characteristics of the human shape in the MHI sequences are considered as the features. An advantage of the proposed method is that the event detection framework is easy to extend by inserting the descriptions of events. In addition, the proposed method is the core technology for event detection systems based on context-aware computing as well as surveillance systems based on computer vision techniques.

Citation status

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