File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1007/978-3-642-37447-0_46
- Scopus: eid_2-s2.0-84875896715
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Adaptive background defogging with foreground decremental preconditioned conjugate gradient
Title | Adaptive background defogging with foreground decremental preconditioned conjugate gradient |
---|---|
Authors | |
Keywords | Adaptive backgrounds Background region Foreground regions Foreground/background segmentation Preconditioned conjugate gradient |
Issue Date | 2013 |
Publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ |
Citation | The 11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, South Korea, 5-9 November 2012. In Lecture Notes in Computer Science, 2013, v. 7727, p. 602-614 How to Cite? |
Abstract | The quality of outdoor surveillance videos are always degraded by bad weathers, such as fog, haze, and snowing. The degraded videos not only provide poor visualizations, but also increase the difficulty of vision-based analysis such as foreground/background segmentation. However, haze/fog removal has never been an easy task, and is often very time consuming. Most of the existing methods only consider a single image, and no temporal information of a video is used. In this paper, a novel adaptive background defogging method is presented. It is observed that most of the background regions between two consecutive video frames do not vary too much. Based on this observation, each video frame is firstly defogged by a background transmission map which is generated adaptively by the proposed foreground decremental preconditioned conjugate gradient (FDPCG). It is shown that foreground/background segmentation can be improved dramatically with such background-defogged video frames. With the help of a foreground map, the defogging of foreground regions is then completed by 1) foreground transmission estimation by fusion, and 2) transmission refinement by the proposed foreground incremental preconditioned conjugate gradient (FIPCG). Experimental results show that the proposed method can effectively improve the visualization quality of surveillance videos under heavy fog and snowing weather. Comparing with the state-of-the-art image defogging methods, the proposed method is much more efficient. © 2013 Springer-Verlag. |
Description | LNCS v. 7724-7727 (pts. 1-4) entitled: Computer vision - ACCV 2012: 11th Asian Conference on Computer Vision ... 2012: revised selected papers |
Persistent Identifier | http://hdl.handle.net/10722/177406 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yuk, JSC | en_US |
dc.contributor.author | Wong, KKY | en_US |
dc.date.accessioned | 2012-12-18T05:08:39Z | - |
dc.date.available | 2012-12-18T05:08:39Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, South Korea, 5-9 November 2012. In Lecture Notes in Computer Science, 2013, v. 7727, p. 602-614 | en_US |
dc.identifier.isbn | 978-3-642-37446-3 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/177406 | - |
dc.description | LNCS v. 7724-7727 (pts. 1-4) entitled: Computer vision - ACCV 2012: 11th Asian Conference on Computer Vision ... 2012: revised selected papers | - |
dc.description.abstract | The quality of outdoor surveillance videos are always degraded by bad weathers, such as fog, haze, and snowing. The degraded videos not only provide poor visualizations, but also increase the difficulty of vision-based analysis such as foreground/background segmentation. However, haze/fog removal has never been an easy task, and is often very time consuming. Most of the existing methods only consider a single image, and no temporal information of a video is used. In this paper, a novel adaptive background defogging method is presented. It is observed that most of the background regions between two consecutive video frames do not vary too much. Based on this observation, each video frame is firstly defogged by a background transmission map which is generated adaptively by the proposed foreground decremental preconditioned conjugate gradient (FDPCG). It is shown that foreground/background segmentation can be improved dramatically with such background-defogged video frames. With the help of a foreground map, the defogging of foreground regions is then completed by 1) foreground transmission estimation by fusion, and 2) transmission refinement by the proposed foreground incremental preconditioned conjugate gradient (FIPCG). Experimental results show that the proposed method can effectively improve the visualization quality of surveillance videos under heavy fog and snowing weather. Comparing with the state-of-the-art image defogging methods, the proposed method is much more efficient. © 2013 Springer-Verlag. | - |
dc.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | - |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.rights | The original publication is available at www.springerlink.com | - |
dc.subject | Adaptive backgrounds | - |
dc.subject | Background region | - |
dc.subject | Foreground regions | - |
dc.subject | Foreground/background segmentation | - |
dc.subject | Preconditioned conjugate gradient | - |
dc.title | Adaptive background defogging with foreground decremental preconditioned conjugate gradient | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Wong, KKY: kykwong@cs.hku.hk | en_US |
dc.identifier.authority | Wong, KKY=rp01393 | en_US |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1007/978-3-642-37447-0_46 | - |
dc.identifier.scopus | eid_2-s2.0-84875896715 | - |
dc.identifier.hkuros | 212816 | en_US |
dc.identifier.volume | 7727 | - |
dc.identifier.spage | 602 | - |
dc.identifier.epage | 614 | - |
dc.publisher.place | Germany | - |
dc.customcontrol.immutable | sml 140219 | - |
dc.identifier.issnl | 0302-9743 | - |