Real-Time Taxi Detection for Embedded System
Bin Hu; Gang Xiong; Fenghua Zhu; Weisi Zhou; Zizhang Chen; Qiuchang Tian; Hu, Bin
2014
Conference Name2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC)
Source Publication2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC)
Conference DateOctober 8-11, 2014
Conference PlaceQingdao, China
AbstractThis  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.
KeywordReal-time Taxi Detection For Embedded System
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12523
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorHu, Bin
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Bin Hu,Gang Xiong,Fenghua Zhu,et al. Real-Time Taxi Detection for Embedded System[C],2014.
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