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

Chung Ping Young; Yen Bor Lin; Kuan Yu Chen

doi:10.1109/SAI.2016.7556005

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

Chung Ping Young, Yen Bor Lin, Kuan Yu Chen

Institute of Medical Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	Proceedings of 2016 SAI Computing Conference, SAI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	349-353
Number of pages	5
ISBN (Electronic)	9781467384605
DOIs	https://doi.org/10.1109/SAI.2016.7556005
Publication status	Published - 2016 Aug 29
Event	2016 SAI Computing Conference, SAI 2016 - London, United Kingdom Duration: 2016 Jul 13 → 2016 Jul 15

Publication series

Name	Proceedings of 2016 SAI Computing Conference, SAI 2016

Other

Other	2016 SAI Computing Conference, SAI 2016
Country	United Kingdom
City	London
Period	16-07-13 → 16-07-15

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All Science Journal Classification (ASJC) codes

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

Cite this

Young, C. P., Lin, Y. B., & Chen, K. Y. (2016). A fast bicycle detector based on a geometric model for single side-view image. In Proceedings of 2016 SAI Computing Conference, SAI 2016 (pp. 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

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title = "A fast bicycle detector based on a geometric model for single side-view image",

abstract = "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.",

author = "Young, {Chung Ping} and Lin, {Yen Bor} and Chen, {Kuan Yu}",

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Young, CP, Lin, YB & Chen, KY 2016, A fast bicycle detector based on a geometric model for single side-view image. in Proceedings of 2016 SAI Computing Conference, SAI 2016., 7556005, Proceedings of 2016 SAI Computing Conference, SAI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 349-353, 2016 SAI Computing Conference, SAI 2016, London, United Kingdom, 16-07-13. https://doi.org/10.1109/SAI.2016.7556005

A fast bicycle detector based on a geometric model for single side-view image. / Young, Chung Ping; Lin, Yen Bor; Chen, Kuan Yu.

Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 349-353 7556005 (Proceedings of 2016 SAI Computing Conference, SAI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Access to Document

10.1109/SAI.2016.7556005