Abstract
In order to improve the performances of object detection and recognition, a two-stage framework combined with variable resolution control strategy is proposed. The images in low resolution and high resolution are employed in object detection and object recognition, respectively. Meanwhile, a feedback mechanism used in two-stage framework is proved to effectively improve the performances of object detection. The results show that under low resolution, the accuracy of object detection based on fixed resolution 320 × 240 without feedback mechanism is 36.7%. However, the accuracy of object detection of the proposed method based on variable resolution increases to 95.3%. Under high resolution, compared with the method based on fixed resolution 1280 × 960 using the two-stage framework, the time consumption of the proposed method with variable resolution decreases by 51.4%, while keeping almost identical recognition accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 417-427 |
| Number of pages | 11 |
| Journal | Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering |
| Volume | 232 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Apr 2018 |
Keywords
- Variable resolution
- control strategy
- feedback
- object detection
- object recognition