A non-temporal texture driven approach to real-time fire detection
| dc.contributor.author | Chenebert, Audrey | - |
| dc.contributor.author | Breckon, Toby P. | - |
| dc.contributor.author | Gaszczak, Anna | - |
| dc.date.accessioned | 2012-09-24T23:02:01Z | |
| dc.date.available | 2012-09-24T23:02:01Z | |
| dc.date.issued | 2011-09-14T00:00:00Z | - |
| dc.description.abstract | Here we investigate the automatic detection of fire pixel regions in conventional video (or still) imagery within realtime bounds. As an extension to prior, established approaches within this field we specifically look to extend the primary use of threshold-driven colour spectroscopy to the combined use of colour-texture feature descriptors as an input to a trained classification approach that is independent of temporal information. We show the limitations of such spectroscopy driven approaches on simple, real-world examples and propose our novel extension as a robust, real-time solution within this field by combining simple texture descriptors to illustrate maximal ∼98% fire region detecti | en_UK |
| dc.identifier.citation | Audrey Chenebert, Toby P. Breckon and Anna Gaszczak. A non-temporal texture driven approach to real-time fire detection. Proceedings of the 18th IEEE International Conference on Image Processing. 11-14 September 2011, Brussels, Belgium, Pages 1741-1744 | |
| dc.identifier.isbn | 9781457713040 | - |
| dc.identifier.uri | http://dx.doi.org/10.1109/ICIP.2011.6115796 | - |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/7588 | |
| dc.subject | fire detection, texture, real-time, nontemporal | en_UK |
| dc.title | A non-temporal texture driven approach to real-time fire detection | en_UK |
| dc.type | Conference paper | - |