Optical flow estimation for flame detection in videos
Computational vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. Whereas many discriminating features, such as color, shape, texture, etc., have been employed in the literature, this paper proposes a set of motion fea...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 7 vom: 07. Juli, Seite 2786-97
|
|---|
| 1. Verfasser: |
Mueller, Martin
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Karasev, Peter,
Kolesov, Ivan,
Tannenbaum, Allen |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2013
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S. |
|---|