Abstract / truncated to 115 words (read the full abstract)

Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, volatile organic compound (VOC) plumes in infra-red (IR) videos, trees in the wind, sea and ocean waves, etc. Researchers extensively studied 2-D textures and related problems in the fields of image processing and computer vision. On the other hand, there is very little research on dynamic texture detection in video. In this dissertation, signal and image processing methods developed for detection of a specific set of dynamic textures are presented. Signal and image processing methods are developed for the detection of flames and smoke in open and large spaces with a range of up to $30$m to the ... toggle 13 keywords

fire detection flame detection smoke detection wildfire detection computer vision pyroelectric infra-red (pir) sensor dynamic textures wavelet transform hidden markov models the least-mean-square (lms) algorithm supervised learning on-line learning active learning


Toreyin, Behcet Ugur
Bilkent University
Publication Year
Upload Date
Jan. 16, 2009

First few pages / click to enlarge

The current layout is optimized for mobile phones. Page previews, thumbnails, and full abstracts will remain hidden until the browser window grows in width.

The current layout is optimized for tablet devices. Page previews and some thumbnails will remain hidden until the browser window grows in width.