FPGA Based Real-time Vehicle Detection System under Complex Background
文献类型：会议论文
| 作者 | Gu, Jiaojiao ; Xiao, Han; He, Wenhao; Wang, Shijun; Wang, Xiaonan; Yuan, Kui
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| 出版日期 | 2016-08 |
| 会议日期 | Aug. 7-10, 2016 |
| 会议地点 | Harbin, China |
| 关键词 | Vehicle Detection Real-time Naive Bayes Embedded System Infrared Image |
| 英文摘要 | 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. |
| 会议录 | 2016 IEEE International Conference on Mechatronics and Automation
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12123]  |
| 专题 | 自动化研究所_智能制造技术与系统研究中心_智能机器人团队 |
| 通讯作者 | Gu, Jiaojiao |
| 作者单位 | Institute of Automation, Chinese Academy of Sciences |
| 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]. 见:. Harbin, China. Aug. 7-10, 2016. |
入库方式： OAI收割
来源：自动化研究所
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