[1]TIAN Guo-hui,JI Yan-qing,LI Xiao-lei.Human behaviors understanding based on scene knowledge in home intelligent space[J].CAAI Transactions on Intelligent Systems,2010,5(1):57-62.
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Human behaviors understanding based on scene knowledge in home intelligent space

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 1 Page number: 57-62 Column: 学术论文—机器感知与模式识别 Public date: 2010-02-25
Title:
Human behaviors understanding based on scene knowledge in home intelligent space
Author(s):
TIAN Guo-hui;  JI Yan-qing;  LI Xiao-lei
School of Control Science and Engineering, Shandong University, Ji’nan 250061, China
Keywords:
intelligent space;  machine vision;  scene knowledge;  behavioral understanding;  anomaly detection;  intention recognition
CLC:
TP391
DOI:
-
Abstract:
Challenges in understanding human behavior in a home environment were studied in order to provide more intelligent services. First, spatial coordinates of human bodies were extracted from motion detector data. Then, by dividing the environment into different stations and observing the types of behavior typical at various periods of time in that area, a stationbased occupational matrix with a time dimension was established. After establishing the station state transitional probability matrix and the state duration time distribution matrix based on the Markov model, a daily behavioral template was constructed. Behavior outside of normal habits as well as behavior resulting from unexpected accidents could be detected in realtime by comparing the similarity of current behavior with templates showing typical daily behavior. At the same time, human intention could be predicted based on behavior patterns typical in different areas. In this way, better understanding of human behavior becomes possible. The effectiveness of this method was proved by experiments. 
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