CASIA OpenIR  > 智能制造技术与系统研究中心  > 智能机器人
FPGA Based Real-time Vehicle Detection System under Complex Background
Gu, Jiaojiao; Xiao, Han; He, Wenhao; Wang, Shijun; Wang, Xiaonan; Yuan, Kui
2016-08
Conference Name2016 IEEE International Conference on Mechatronics and Automation (ICMA 2016)
Source Publication2016 IEEE International Conference on Mechatronics and Automation
Conference DateAug. 7-10, 2016
Conference PlaceHarbin, China
AbstractIn 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.
KeywordVehicle Detection Real-time Naive Bayes Embedded System Infrared Image
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12123
Collection智能制造技术与系统研究中心_智能机器人
Corresponding AuthorGu, Jiaojiao
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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