| ID | 30026 |
| フルテキストURL | |
| 著者 |
Wada, Toshikazu
Okayama University
Matsuyama, Takashi
Kyoto University
|
| 抄録 | Background subtraction is a simple and effective method to detect anomalous regions in images. In spite of the effectiveness, it cannot be used with an active (moving) camera head because the background image varies with camera-parameter control. This paper presents a background subtraction method with pan-tilt-zoom control. The proposed method consists of an omnidirectional background model called appearance sphere and parallax free sensing. Based on this model, precise background images can be generated and background subtraction can be performed for any combination of pan-tilt-zoom parameters without restoring 3D scene information |
| キーワード | active vision
calibration
computer vision
data structures
image sequences
motion estimation
|
| 備考 | Digital Object Identifier: 10.1109/ICPR.1996.546118
Published with permission from the copyright holder. This is the institute's copy, as published in Pattern Recognition, 1996., Proceedings of the 13th International Conference on, 25-29 Aug. 1996, Vol. 1, Pages 718-722. Publisher URL:http://dx.doi.org/10.1109/ICPR.1996.546118 Copyright © 1996 IEEE. All rights reserved. |
| 発行日 | 1996-8
|
| 出版物タイトル |
Pattern Recognition
|
| 巻 | 1巻
|
| 開始ページ | 718
|
| 終了ページ | 722
|
| 資料タイプ |
学術雑誌論文
|
| 言語 |
英語
|
| 査読 |
有り
|
| DOI | |
| Submission Path | industrial_engineering/55
|
