FPGA implementation of high frame rate and ultra-low delay vision system with local and global parallel based matching
Tingting Hu, Takeshi Ikenaga · 2017
High frame rate and ultra-low delay image processing system plays an increasingly important role in human-machine interactive applications which call for a better experience. Current works based on vision chip target on video with simple patterns or simple shapes in order to get a higher speed, while a more complicated system is required for real-life applications. This paper proposes a BRIEF based matching system with high frame rate and ultra-low delay for specific object tracking, implemented on FPGA board. Local parallel and global pipeline based matching and 4-1-4 thread transformation are proposed for the implementation of this system. Local parallel and global pipeline based matching is proposed for high-speed matching. And 4-1-4 thread transformation is proposed to reduce the enormous resource cost caused by highly paralled and pipelined structure. In a broader framework, the proposed image processing system is made parallelized and pipelined for a high throughput which can meet the high frame rate and ultra-low delay system's demand. Evaluation results show that the proposed image processing core can work at 1306fps and 0.808ms delay with the resolution of 640×480. System using the image processing core and a camera with 784fps frame rate and 640×480 resolution is designed.