Earticle

초록

영어

Traditional approaches for some applications of Intelligent Transportation System(ITS), such as license plate tilt correction and vehicle speed estimation generally require feature extraction, however, feature extraction is a difficult task in complex traffic environment, and it is prone to be affected by the moving status of object and dynamic environment. In this paper, we tried a new analysis method without feature extraction for these two applications. The approach is based on enumeration. All the possible results of image analysis are tested by the testing function. Then, the extreme value of the testing function is selected and the corresponding result is just the concerning result. In the experiment, our method is applied to vehicle license plate tilt correction and vehicle speed estimation. The results demonstrate the proposed method has certain degree of robustness and validity.

목차

Abstract
 1. Introduction
 2. Enumeration Method
 3. Vehicle License Plate Tilt Correction
 4. Vehicle Speed Estimation
 5. Experiment Results
 6. Conclusion
 Acknowledgement
 References

키워드

저자

• Shengnan Lu [ College of Information Engineering,Chang’an University, Xi’an 710064, China, College of Computer, Xi’ an Shiyou University, Xi’an 710065, China ]
• Huansheng Song [ College of Information Engineering,Chang’an University, Xi’an 710064, China ]
• Xiaojuan Xu [ College of Information Engineering,Chang’an University, Xi’an 710064, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605