基于成像仪驱动处理模式的超快成像仪多倍和目标检测性能比较:(摘要)

Xiaoyu Yu, D. Ye
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引用次数: 0

摘要

最新的视觉任务趋向于高吞吐量、低时延、高帧率的实时处理。高时空分辨率成像仪不断涌现,但由于计算负担过重和缺乏合适的结构,能够用于实际应用的成像仪很少。本文提出了一种基于图像驱动处理模式(IMP)的目标检测任务解决方案,该解决方案在超高速图像以全帧速率运行的情况下,其处理时间比帧间时间间隔要短。在FPGA全流水线无缓冲架构下,对成像仪输出的高吞吐量像素流进行了分析。提出了一种由二维处理单元(PE)阵列组成的金字塔形状模型,用于搜索分布在不同时间片上的候选目标的连通区域,并在流通过时提取相应的特征。基于标签的一维PE阵列根据金字塔生成的特征流的标签进行采集,并实时输出每个候选目标的特征向量。该模型已在0.8Gpixel/sec (2320×1726, 192FPS)数据流输入下的目标检测仿真和实验中得到验证,延时小于1微秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Comparison of Multiples and Target Detection with Imager-driven Processing Mode for Ultrafast-Imager: (Abstract Only)
Latest vision tasks trend to be the real-time processing with high throughput frame rate and low latency. High spatiotemporal resolution imagers continue to spring up but only a few of them can be used in real applications owing to the excessive computational burden and lacking of suitable architecture. This paper presents a solution for target detection task in imager-driven processing mode (IMP), which takes shorter time in processing than the time gap between frames, even if the ulreafast imager run at full frame rate. High throughput pixel stream outputted from imager is analyzed base on multi features in a fully pipelined and bufferless architecture in FPGA. A pyramid shape model consisting of 2-D Processing Element (PE) array is proposed to search the connected regions of target candidates distributed at different time slices, and extract corresponding features when the stream pass through. A Label based 1-D PE Array collects the feature flow generated by the pyramid according to their labels, and output the feature vector of each target candidate in real time. The proposed model has been tested in simulation and experiments for target detection with 0.8Gpixel/sec (2320×1726 with 192FPS) data stream input, and the latency is less than 1 microsecond.
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