High-speed vision extraction based on the CamShift algorithm
| Autor: | ChunYu Zhang, Rui Bin Gou, Lei Chen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
High speed vision
Cross-correlation Computer Networks and Communications Computer science Robustness (computer science) 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology Mean-shift Algorithm Software Displacement (vector) |
| Zdroj: | Cluster Computing. 22:555-564 |
| ISSN: | 1573-7543 1386-7857 |
| Popis: | This study investigates the use of the continuously adaptive mean shift (CamShift) algorithm in high-speed vision extraction. Videos of a high-speed target are captured with a high-speed camera. The displacement of the target is extracted from the videos using the CamShift algorithm. The CamShift algorithm is then compared with the normalized cross correlation algorithm and other algorithms in terms of accuracy and rapidity. Simulation and test results indicate that the CamShift algorithm is better than other algorithms in terms of the displacement extraction of high-frequency vibration. The CamShift algorithm also offers numerous advantages, including real time, high efficiency, high accuracy, and robustness. |
| Databáze: | OpenAIRE |
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