Human Behavior Analysis and Remote Emergency Detection System Using the Neural Network

신경망을 이용한 동작분석과 원격 응급상황 검출 시스템

  • 이동규 (한북대학교 컴퓨터공학과) ;
  • 이기정 (경원대학교 소프트웨어대학) ;
  • 임혁규 (경원대학교 소프트웨어대학) ;
  • 황보택근 (경원대학교 소프트웨어대학)
  • Published : 2006.09.01


This paper proposes an automatic video monitoring system and its application to emergency detection by analyzing human behavior using neural network. The object area is identified by subtracting the statistically constructed background image from the input image. The identified object area then is transformed to the feature vector. Neural network has been adapted for analyzing the human behavior using the feature vector, and is designed to classify the behavior in rather simple numerical calculation. The system proposed in this paper is able to classify the three human behavior: stand, faint, and squat. Experiment results shows that the proposed algorithm is very efficient and useful in detecting the emergency situation.