Vision-Based Bicycle Detection Using Multiscale Block Local Binary Pattern
Joint Authors
Gao, Zhenhai
Hu, Hongyu
Tao, Pengfei
Wang, Qingnian
Qu, Zhaowei
Li, Zhihui
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Bicycle traffic has heavy proportion among all travel modes in some developing countries, which is crucial for urban traffic control and management as well as facility design.
This paper proposes a real-time multiple bicycle detection algorithm based on video.
At first, an effective feature called multiscale block local binary pattern (MBLBP) is extracted for representing the moving object, which is a well-classified feature to distinguish between bicycles and nonbicycles; then, a cascaded bicycle classifier trained by AdaBoost algorithm is proposed, which has a good computation efficiency.
Finally, the method is tested with video sequence captured from the real-world traffic scenario.
The bicycles in the test scenario are successfully detected.
American Psychological Association (APA)
Hu, Hongyu& Tao, Pengfei& Gao, Zhenhai& Wang, Qingnian& Li, Zhihui& Qu, Zhaowei. 2014. Vision-Based Bicycle Detection Using Multiscale Block Local Binary Pattern. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1044207
Modern Language Association (MLA)
Hu, Hongyu…[et al.]. Vision-Based Bicycle Detection Using Multiscale Block Local Binary Pattern. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1044207
American Medical Association (AMA)
Hu, Hongyu& Tao, Pengfei& Gao, Zhenhai& Wang, Qingnian& Li, Zhihui& Qu, Zhaowei. Vision-Based Bicycle Detection Using Multiscale Block Local Binary Pattern. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1044207
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044207