FPGA Based Real-time Vehicle Detection System under Complex Background

	FPGA Based Real-time Vehicle Detection System under Complex Background
	Gu, Jiaojiao; Xiao, Han; He, Wenhao; Wang, Shijun; Wang, Xiaonan; Yuan, Kui
	2016-08
会议名称	2016 IEEE International Conference on Mechatronics and Automation (ICMA 2016)
会议录名称	2016 IEEE International Conference on Mechatronics and Automation
会议日期	Aug. 7-10, 2016
会议地点	Harbin, China
摘要	In this paper, a real-time vehicle detection system is designed and implemented on an FPGA (Field Programmable Gate Array). The system is composed of an infrared camera and an image acquisition and processing board developed by our research team. An FPGA chip and a DSP chip are embedded in the image board as the major calculation units, which make realtime computation possible. First, edge features of the training samples are extracted according to Naive Bayes Model and then fused with brightness features to construct the detector template on the host computer. Second, real-time vehicle detection experiments are conducted according to the detector template on the image acquisition and processing board. In contrast to conventional methods in which a huge number of negative samples are collected for training, an even distribution is assumed in our method and no negative samples are needed, thus greatly shortening the training time. Experiment results show that the algorithm can detect different shapes and sizes of vehicle objects efficiently.
关键词	Vehicle Detection Real-time Naive Bayes Embedded System Infrared Image
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12123
专题	智能制造技术与系统研究中心_智能机器人
通讯作者	Gu, Jiaojiao
作者单位	Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Gu, Jiaojiao,Xiao, Han,He, Wenhao,et al. FPGA Based Real-time Vehicle Detection System under Complex Background[C],2016.

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