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

西村 英伍

doi:10.15017/7170833

書誌事項

タイトル別名

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

説明

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.

収録刊行物

芸術工学研究

芸術工学研究 39 19-22, 2024-03-11

九州大学大学院芸術工学研究院

詳細情報詳細情報について

CRID: 1390581148794728448

NII書誌ID: AA11392848

DOI: 10.15017/7170833

HANDLE: 2324/7170833

ISSN: 13490915

本文言語コード: ja

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JaLC
IRDB

抄録ライセンスフラグ: 使用可

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