A Monkey Swing Counting Algorithm Based on Object Detection

  • CHEN Hao
    School of Aeronautics and Astronautics, Zhejiang University
  • LU Zhe-Ming
    School of Aeronautics and Astronautics, Zhejiang University
  • LIU Jie
    Centre for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

抄録

<p>This Letter focuses on deep learning-based monkeys' head swing counting problem. Nowadays, there are very few papers on monkey detection, and even fewer papers on monkeys' head swing counting. This research tries to fill in the gap and try to calculate the head swing frequency of monkeys through deep learning, where we further extend the traditional target detection algorithm. After analyzing object detection results, we localize the monkey's actions over a period. This Letter analyzes the task of counting monkeys' head swings, and proposes the standard that accurately describes a monkey's head swing. Under the guidance of this standard, the monkeys' head swing counting accuracy in 50 test videos reaches 94.23%.</p>

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