Name
Abstract | ||
|---|---|---|
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 x 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/s17112483 | SENSORS |
Keywords | Field | DocType |
high-speed vision,frame-by-frame intermittent tracking,fast-moving-object inspection,image stabilization | Computer vision,Synchronization,Image stabilization,Shutter,Motion blur,Video tracking,Motion interpolation,Artificial intelligence,Engineering,Video camera,Actuator | Journal |
Volume | Issue | ISSN |
17 | 11.0 | 1424-8220 |
Citations | PageRank | References |
1 | 0.36 | 41 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michiaki Inoue | 1 | 2 | 1.07 |
| Qingyi Gu | 2 | 153 | 22.13 |
| Mingjun Jiang | 3 | 1 | 0.70 |
| Takeshi Takaki | 4 | 222 | 38.04 |
| Idaku Ishii | 5 | 355 | 64.37 |
| Kenji Tajima | 6 | 45 | 4.42 |