Recognition of Events by Human Motion for Context-aware Computing (상황인식 컴퓨팅을 위한 사람 움직임 이벤트 인식)

최요환; SeongYoon Shin (신성윤); Chang Woo Lee (이창우)

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 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.

KEYWORDS

Event Recognition, Motion History Image, Geometrical Characteristics, Human Motion Analysis, Context-aware Computing, Surveillance System

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65