Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot
Precisely evaluating the frame synchronization of the camera network is often required for accurate data fusion from multiple visual information. This paper presents a novel method to estimate the synchronization accuracy by using inherent visual information of linearly oscillating light spot captur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/18/6148 |
| _version_ | 1797517230710194176 |
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| author | Hyuno Kim Masatoshi Ishikawa |
| author_facet | Hyuno Kim Masatoshi Ishikawa |
| author_sort | Hyuno Kim |
| collection | DOAJ |
| description | Precisely evaluating the frame synchronization of the camera network is often required for accurate data fusion from multiple visual information. This paper presents a novel method to estimate the synchronization accuracy by using inherent visual information of linearly oscillating light spot captured in the camera images instead of using luminescence information or depending on external measurement instrument. The suggested method is compared to the conventional evaluation method to prove the feasibility. Our experiment result implies that the estimation accuracy of the frame synchronization can be achieved in sub-millisecond order. |
| first_indexed | 2024-03-10T07:13:51Z |
| format | Article |
| id | doaj.art-cea86d9b078048729713683554a8d387 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T07:13:51Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cea86d9b078048729713683554a8d3872023-11-22T15:12:22ZengMDPI AGSensors1424-82202021-09-012118614810.3390/s21186148Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light SpotHyuno Kim0Masatoshi Ishikawa1Data Science Research Division, Information Technology Center, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, JapanData Science Research Division, Information Technology Center, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, JapanPrecisely evaluating the frame synchronization of the camera network is often required for accurate data fusion from multiple visual information. This paper presents a novel method to estimate the synchronization accuracy by using inherent visual information of linearly oscillating light spot captured in the camera images instead of using luminescence information or depending on external measurement instrument. The suggested method is compared to the conventional evaluation method to prove the feasibility. Our experiment result implies that the estimation accuracy of the frame synchronization can be achieved in sub-millisecond order.https://www.mdpi.com/1424-8220/21/18/6148frame synchronizationcamera networkcomputer visionlinear regression |
| spellingShingle | Hyuno Kim Masatoshi Ishikawa Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot Sensors frame synchronization camera network computer vision linear regression |
| title | Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot |
| title_full | Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot |
| title_fullStr | Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot |
| title_full_unstemmed | Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot |
| title_short | Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot |
| title_sort | sub frame evaluation of frame synchronization for camera network using linearly oscillating light spot |
| topic | frame synchronization camera network computer vision linear regression |
| url | https://www.mdpi.com/1424-8220/21/18/6148 |
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