Quantitative Behavioral Observation Using Keypoint Detection Technology: Towards the Development of a New Behavioral Observation Method through Video Imagery

DOI IR (HANDLE) Open Access
  • NISHIMURA Eigo
    Department of Human Life Design and Science, Faculty of Design, Kyushu University

Bibliographic Information

Other Title
  • キーポイント検出技術を用いた定量的行動観察 : ビデオ映像による新しい行動観察手法の開発に向けて

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Description

In behavioral observation within videos using keypoint detection technology, the movement of specific points (keypoints) is tracked to quantify behavior. The use of video cameras enables long-term observation and simultaneous observation of multiple people, but this increases the burden on observers. Therefore, the efficiency and automation of behavioral recording using video analysis technology have become important challenges for the future. The author is conducting research to expand quantitative methods of behavioral observation by combining video cameras with keypoint detection technology. There are two main challenges being addressed in this research. The first is improving the accessibility of keypoint detection technology. Despite technological advancements, the latest technologies are difficult to use for non-information technology students and researchers. To address this, the author is developing an intuitive application designed to handle various image recognition libraries. The second challenge is converting keypoints into meaningful behavioral data. An application is being developed to transform keypoint coordinate data into behavioral data, allowing for analysis of movement speed and direction of keypoints. Currently, these technologies are being implemented into applications to verify their practical applicability in behavioral observation.

Journal

  • 芸術工学研究

    芸術工学研究 39 19-22, 2024-03-11

    Faculty of Design, Kyushu University

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