Adaptive search of background models for object detection in images taken by moving cameras

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 引用 (Scopus)

抜粋

We propose a strategy of background subtraction for an image sequence captured by a moving camera. To adapt for camera motion, it is necessary to estimate the relation between consecutive frames in background subtraction. However, simple background subtraction using the relation between consecutive frames results in many false detections. We use re-projection error to handle this problem. The re-projection error has a low value in a background region. According to re-projection error, our method searches neighboring background models and tunes a threshold value for detection in order to reduce false detections. We evaluated the accuracy of detection of our method in experiments. Our method provided better detection than a method that does not search neighboring background models. Our method thus reduced the number of false detections.

元の言語英語
ホスト出版物のタイトル2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
出版者IEEE Computer Society
ページ2626-2630
ページ数5
ISBN(電子版)9781479983391
DOI
出版物ステータス出版済み - 12 9 2015
イベントIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, カナダ
継続期間: 9 27 20159 30 2015

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
2015-December
ISSN(印刷物)1522-4880

その他

その他IEEE International Conference on Image Processing, ICIP 2015
カナダ
Quebec City
期間9/27/159/30/15

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • これを引用

    Minematsu, T., Uchiyama, H., Shimada, A., Nagahara, H., & Taniguchi, R. I. (2015). Adaptive search of background models for object detection in images taken by moving cameras. : 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 2626-2630). [7351278] (Proceedings - International Conference on Image Processing, ICIP; 巻数 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351278