Real-Time Taxi Detection for Embedded System
文献类型：会议论文
| 作者 | Bin Hu ; Gang Xiong; Fenghua Zhu; Weisi Zhou; Zizhang Chen; Qiuchang Tian; Hu, Bin
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| 出版日期 | 2014 |
| 会议日期 | October 8-11, 2014 |
| 会议地点 | Qingdao, China |
| 关键词 | Real-time Taxi Detection For Embedded System |
| 英文摘要 | This paper presents a real-time taxi detection algorithm for embedded system. The detection is achieved by setting detection areas, license plate detection, vehicle roof detection, vehicle roof feature extraction and vehicle roof classification. In other words, a frame is extracted from the video and transformed into a rectangle image. After that, the system locates the license plate and followed by the vehicle roof. Then the features of the vehicle roof and the vehicle color are extracted. Finally, the features are input into a regression function, which is obtained from previous training data, to determine whether the vehicle is a taxi. These features are easy to extract so that the whole process is simple and robust. Due to the small cost of time, this method is suitable for embedded system. |
| 会议录 | 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC)
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| 源URL | [http://ir.ia.ac.cn/handle/173211/12523]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Hu, Bin |
| 作者单位 | Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Bin Hu,Gang Xiong,Fenghua Zhu,et al. Real-Time Taxi Detection for Embedded System[C]. 见:. Qingdao, China. October 8-11, 2014. |
入库方式： OAI收割
来源：自动化研究所
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