A variable resolution feedback improving the performances of object detection and recognition

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.