A fast bicycle detector based on a geometric model for single side-view image

Chung Ping Young, Yen Bor Lin, Kuan Yu Chen

研究成果: Conference contribution

摘要

Researchers gave the vehicle and pedestrian detection lots of attention to alarm the drivers for improving the safety of transportation systems. However, bicycles are also the significant factor of the safety on road. In this paper, a bicycle detector for side-view image is proposed based on the observation that a bicycle consists of two wheels in the form of ellipse shapes and a frame in the form of two triangles. Through the design of geometric constrains between the triangles and ellipses, the computation is fast comparing to the feature-based classifiers. Besides, the training process is unnecessary and only single image is required for our algorithm. Preliminary experimental result is also given in this paper to show the practicability and the performance of the proposed bicycle model and bicycle detection algorithm.

原文English
主出版物標題Proceedings of 2016 SAI Computing Conference, SAI 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面349-353
頁數5
ISBN(電子)9781467384605
DOIs
出版狀態Published - 2016 八月 29
事件2016 SAI Computing Conference, SAI 2016 - London, United Kingdom
持續時間: 2016 七月 132016 七月 15

出版系列

名字Proceedings of 2016 SAI Computing Conference, SAI 2016

Other

Other2016 SAI Computing Conference, SAI 2016
國家United Kingdom
城市London
期間16-07-1316-07-15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Modelling and Simulation

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  • 引用此

    Young, C. P., Lin, Y. B., & Chen, K. Y. (2016). A fast bicycle detector based on a geometric model for single side-view image. 於 Proceedings of 2016 SAI Computing Conference, SAI 2016 (頁 349-353). [7556005] (Proceedings of 2016 SAI Computing Conference, SAI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAI.2016.7556005