摘要
为了实现对高速动态图像进行稳定的快速识别,并将识别出的目标图像传给上位机,应用优化的背景差分原理,设计并验证了一种可并行计算的高速动态目标识别算法,利用FPGA作为主控芯片实现了有效图像的高效采集以及实时传输功能;首先该系统采用流水线处理方式实现对数据的实时采集,然后利用乒乓操作来实现目标识别算法,通过对DDR3进行分页操作,将识别后的动态目标图像进行缓存,最后采用USB3.0芯片实现上位机与FPGA进行实时传输数据;实验结果表明,所设计的动态目标高速识别算法可以有效识别出6 mm的BB弹,捕获率高达99%,同时该系统可以实现动态目标数据的实时传输。
In order to realize the stable and rapid recognition of high-speed dynamic images,and transmit the recognized target images to the host computer,by using the optimized background difference principle,a high-speed dynamic target recognition algorithm that can be calculated in parallel is designed and verified.FPGA as the main control chip realizes the efficient collection and real-time transmission of effective images.Firstly,the system adopts the pipeline processing to realize the real-time data collection,and then uses the ping-pong operation to realize the target recognition algorithm.Through paging operation on DDR3,the recognized dynamic target image is cached,and finally the USB3.0 chip is used to realize the real-time data transmission for the upper computer and FPGA.Experimental results show that the designed high-speed recognition algorithm for dynamic targets can effectively identify 6 mm BB bullets,Capture rate up to 99%and the system can realize the real-time transmission of the dynamic target data.
作者
张太然
朱建国
宋玉贵
王永
ZHANG Tairan;ZHU Jianguo;SONG Yugui;WANG Yong(School of Optoelectronic Engineering,Xi'an Technological University,Xi'an 710021,China;63850 Troops of the PLA,Baicheng 137000,China)
出处
《计算机测量与控制》
2022年第2期229-236,共8页
Computer Measurement &Control
基金
陕西省教育厅重点实验项目(18JS047)。
关键词
高速动态图像
背景差分
目标识别
实时传输
流水线
high-speed dynamic image
background difference
target recognition
real-time transmission
pipeline
