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

Chung Ping Young, Yen Bor Lin, Kuan Yu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationProceedings of 2016 SAI Computing Conference, SAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781467384605
Publication statusPublished - 2016 Aug 29
Event2016 SAI Computing Conference, SAI 2016 - London, United Kingdom
Duration: 2016 Jul 132016 Jul 15

Publication series

NameProceedings of 2016 SAI Computing Conference, SAI 2016


Other2016 SAI Computing Conference, SAI 2016
Country/TerritoryUnited Kingdom

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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