{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:16:21Z","timestamp":1760242581874,"version":"build-2065373602"},"reference-count":90,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,10,29]],"date-time":"2017-10-29T00:00:00Z","timestamp":1509235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This study proposes a novel concept of actuator-driven frame-by-frame intermittent tracking for motion-blur-free video shooting of fast-moving objects. The camera frame and shutter timings are controlled for motion blur reduction in synchronization with a free-vibration-type actuator vibrating with a large amplitude at hundreds of hertz so that motion blur can be significantly reduced in free-viewpoint high-frame-rate video shooting for fast-moving objects by deriving the maximum performance of the actuator. We develop a prototype of a motion-blur-free video shooting system by implementing our frame-by-frame intermittent tracking algorithm on a high-speed video camera system with a resonant mirror vibrating at 750 Hz. It can capture 1024 \u00d7 1024 images of fast-moving objects at 750 fps with an exposure time of 0.33 ms without motion blur. Several experimental results for fast-moving objects verify that our proposed method can reduce image degradation from motion blur without decreasing the camera exposure time.<\/jats:p>","DOI":"10.3390\/s17112483","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T12:16:23Z","timestamp":1509365783000},"page":"2483","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Motion-Blur-Free High-Speed Video Shooting Using a Resonant Mirror"],"prefix":"10.3390","volume":"17","author":[{"given":"Michiaki","family":"Inoue","sequence":"first","affiliation":[{"name":"Department of System Cybernetics, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyi","family":"Gu","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing 100190, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9171-687X","authenticated-orcid":false,"given":"Mingjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of System Cybernetics, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takeshi","family":"Takaki","sequence":"additional","affiliation":[{"name":"Department of System Cybernetics, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Idaku","family":"Ishii","sequence":"additional","affiliation":[{"name":"Department of System Cybernetics, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenji","family":"Tajima","sequence":"additional","affiliation":[{"name":"Photron Ltd., Kanda Jinbo-cho 1-105, Chiyoda-Ku, Tokyo 101-0051, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/79.489268","article-title":"Blind image deconvolution","volume":"13","author":"Kundur","year":"1996","journal-title":"IEEE Signal Proc. 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