Vehicle detection from onboard camera using patch decided vanishing point

Zihao Wang, Weidong Qu, Seiichiro Kamata

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

Abstract

In this paper, a vision-based vehicle detection using vanishing point is proposed, which could detect vehicles with different orientation using different models, and increases the accuracy. With the input image from the on-board camera, the method first divides it into small square patches. Then two approaches are used for grey image patches and color image patches which help to find out useful patches for vanishing point vote process. After that, the method uses selective search to generate candidates that might be vehicles. And with the vanishing point, orientation and scale of candidates are obtained. According to these, they are put into corresponding models which are trained offline. A new data set included orientation is also created for vehicles and non-vehicles which are used to do the experiment. The result shows that the method works and improves the accuracy.

Original languageEnglish
Title of host publicationProceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
Volume2018-January
ISBN (Electronic)9781538619377
DOIs
Publication statusPublished - 2018 Feb 22
Event10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 - Shanghai, China
Duration: 2017 Oct 142017 Oct 16

Other

Other10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
CountryChina
CityShanghai
Period17/10/1417/10/16

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Cameras
Color
Experiments
Datasets

Keywords

  • Histogram algorithm
  • Orientation based Vehicle detection
  • Patch based vanishing point
  • Self-made data set

ASJC Scopus subject areas

  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering

Cite this

Wang, Z., Qu, W., & Kamata, S. (2018). Vehicle detection from onboard camera using patch decided vanishing point. In Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 (Vol. 2018-January, pp. 1-7). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISP-BMEI.2017.8302022

Vehicle detection from onboard camera using patch decided vanishing point. / Wang, Zihao; Qu, Weidong; Kamata, Seiichiro.

Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-7.

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

Wang, Z, Qu, W & Kamata, S 2018, Vehicle detection from onboard camera using patch decided vanishing point. in Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-7, 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017, Shanghai, China, 17/10/14. https://doi.org/10.1109/CISP-BMEI.2017.8302022
Wang Z, Qu W, Kamata S. Vehicle detection from onboard camera using patch decided vanishing point. In Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-7 https://doi.org/10.1109/CISP-BMEI.2017.8302022
Wang, Zihao ; Qu, Weidong ; Kamata, Seiichiro. / Vehicle detection from onboard camera using patch decided vanishing point. Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-7
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