Vehicle detection from onboard camera using patch decided vanishing point

Zihao Wang, Weidong Qu, Sei Ichiro Kamata

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
編集者Song Qiu, Hongying Liu, Li Sun, Lipo Wang, Qingli Li, Mei Zhou
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-7
ページ数7
ISBN(電子版)9781538619377
DOI
出版ステータスPublished - 2018 2 22
イベント10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 - Shanghai, China
継続期間: 2017 10 142017 10 16

出版物シリーズ

名前Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
2018-January

Other

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

ASJC Scopus subject areas

  • 健康情報学
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 生体医工学

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