Sensors, Vol. 19, Pages 3707: An FPGA-Based Ultra-High-Speed Object Detection Algorithm with Multi-Frame Information Fusion

Sensors, Vol. 19, Pages 3707: An FPGA-Based Ultra-High-Speed Object Detection Algorithm with Multi-Frame Information Fusion
Sensors doi: 10.3390/s19173707
Authors:
Xianlei Long
Shenhua Hu
Yiming Hu
Qingyi Gu
Idaku Ishii

An ultra-high-speed algorithm based on Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) for hardware implementation at 10,000 frames per second (FPS) under complex backgrounds is proposed for object detection. The algorithm is implemented on the field-programmable gate array (FPGA) in the high-speed-vision platform, in which 64 pixels are input per clock cycle. The high pixel parallelism of the vision platform limits its performance, as it is difficult to reduce the strides between detection windows below 16 pixels, thus introduce non-negligible deviation of object detection. In addition, limited by the transmission bandwidth, only one frame in every four frames can be transmitted to PC for post-processing, that is, 75% image information is wasted. To overcome the mentioned problem, a multi-frame information fusion model is proposed in this paper. Image data and synchronization signals are first regenerated according to image frame numbers. The maximum HOG feature value and corresponding coordinates of each frame are stored in the bottom of the image with that of adjacent frames’. The compensated ones will be obtained through information fusion with the confidence of continuous frames. Several experiments are ...

Source: Sensors - August 25, 2019 Category: Biotechnology Authors: Xianlei Long Shenhua Hu Yiming Hu Qingyi Gu Idaku Ishii Tags: Article Source Type: research