Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (3): 360-370.

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Human Behavior Recognition Feature Extraction Method: A Survey

ZHANG Huizhen1a,LIU Yunlin1a,REN Weijian1a,1b,LIU Xinyu2   

  1. 1a. School of Electrical Engineering & Information; 1b. Heilongjiang Provincial Key Laboratory of
    Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,China;
    2. Information Management Office,Sinopec Marketing Shanghai Company,Shanghai 200002,China
  • Received:2019-11-13 Online:2020-05-24 Published:2020-06-24

Abstract: The process of behavior recognition can be regarded as the combination of feature extraction and
classifier to a large extent. Compared to static image object recognition,video feature extraction of human
behavior recognition is more susceptible to such factors as dynamic background,acquisition device motion,
perspective and illumination,so it poses great challenges to researchers. Based on the systematic classification of
behavior recognition feature extraction,according to the different types of behavior recognition feature extraction
methods and common behavior recognition database,the behavior recognition feature extraction is systematically
classified to expound the latest research progress. And the current research difficulties and possible future
research directions are discussed.

Key words: computer vision, behavior recognition, feature extraction, behavior identification dataset

CLC Number: 

  • TP391