Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Robust Object Detection in Severe Imaging Conditions using Co-Occurrence Background Model
Title: | Robust Object Detection in Severe Imaging Conditions using Co-Occurrence Background Model |
Authors: | Liang, Dong Browse this author | Kaneko, Shun'ichi Browse this author →KAKEN DB | Hashimoto, Manabu Browse this author | Iwata, Kenji Browse this author | Zhao, Xinyue Browse this author | Satoh, Yutaka Browse this author |
Keywords: | background modeling | low-illumination | narrow dynamic range | object detection | underexposure |
Issue Date: | Jan-2014 |
Publisher: | Taylor & Francis |
Journal Title: | International Journal of Optomechatronics |
Volume: | 8 |
Issue: | 1 |
Start Page: | 14 |
End Page: | 29 |
Publisher DOI: | 10.1080/15599612.2014.890686 |
Abstract: | In this study, a spatial-dependent background model for detecting objects is used in severe imaging conditions. It is robust in the cases of sudden illumination fluctuation and burst motion background. More importantly, it is quite sensitive under the cases of underexposure, low-illumination, and narrow dynamic range, all of which are very common phenomenon using a surveillance camera. The background model maintains statistical models in the form of multiple pixel pairs with few parameters. Experiments using several challenging datasets (Heavy Fog, PETS-2001, AIST-INDOOR, and a real surveillance application) confirm the robust performance in various imaging conditions. |
Rights: | This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Optomechatronics on vol. 8, no. 1, 2014, available online: http://www.tandfonline.com/10.1080/15599612.2014.890686. |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/57664 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: 金子 俊一
|