Frequency Measurement System for Micro-Periodic Motion: Robust to Background Changes Using Particle Video

カテゴリ: 部門大会

論文No: SS3-6

グループ名: 【C】2022年電気学会電子・情報・システム部門大会

発行日: 2022/08/24

タイトル(英語): Frequency Measurement System for Micro-Periodic Motion: Robust to Background Changes Using Particle Video

著者名: Fukasawa Mizuki（Iwate University）,Shimojo Shinsuke（California Institute of Technology）,Akashi Takuya（Iwate University）

著者名(英語): Mizuki Fukasawa (Iwate University),Shinsuke Shimojo (California Institute of Technology),Takuya Akashi (Iwate University)

キーワード: Motion Estimation|Frequency Measurement|Human Brain Rhythm

要約(日本語): Research on neuroscience has shown that the human brain spontaneously generates individual rhythms which influence our behaviors, movements, and preferences. Information on micro-periodic motion of the legs can be utilized to study the generation of brain rhythms. To implement this approach with computer vision technology, we developed a system designed to measure the frequency of such motion. To collect the required data, we used particle video, which is a motion estimation method for video images. Many motion estimation methods are affected by variations in the background, such as the movement of other people in uncontrolled scenes. Therefore, we constructed a robust system to compensate for changes in the background of video content by using features of particle video. This work describes our proposed system for measuring the frequency of spontaneous micro-periodic motion using particle video.