An Ultra-High-Speed Object Detection Method with Projection-based Position Compensation

A hardware-oriented ultrahigh-speed object detection and measurement method based on the descriptor of histogram of oriented gradient (HOG) and projection information is proposed in this article. The frame rate is up to 10 000 frames/s through a large amount of algorithm optimization and field-programmable gate array implementation. The input parallelism is 64 pixels characterized with 768 bits per clock cycle, and the stride between detection windows is fixed at 16 pixels through $4\times $ up-clocking operation in the existing algorithm proposed by Li et al . The large intervals among adjacent detection areas lead to lower positioning precision with only HOG descriptors. Addressing this problem, the pixel values projection information in both the horizontal and vertical directions within each detection window is used for compensation. The accuracy of object location is improved through a combination of both image features, and the deviation between the measured and actual values of the proposed algorithm is reduced to less than 30% of the previous one. Besides, the rotating speed of a fan is measured as 1150.8 r/min using the detected coordinate values with the proposed method.