In the second approach, prior information about dynamic textures is used for detecting smoke and flames in video.
A non-regular optical flow calculation based on the brightness conservation assumption provides a better model for strong dynamic textures.
An alternative to the brightness constancy assumption, the brightness conservation assumption enables the brightness of an image point to propagate to its neighborhood and thus to model complex brightness changes. However, self-occlusion, material diffusion, and other physical processes not obeying the brightness constancy assumption make such algorithms inappropriate for strong dynamic textures. In the first approach, dynamic textures are classified as weak dynamic textures will be analysed with standard optical flow algorithms relying on the brightness constancy assumption. Two different approaches will be studied in this showcase. To be able to detect and segment dynamic textures in challenging real world applications, differences in dynamics must be also analyzed. One can take advantage of the research in 2-D textures to model the spatial behaviour of a given dynamic texture. If one can initially identify bushes, trees, and clouds in a video, then such regions can be excluded from the search space or proper care can be taken in such regions, and this leads to robust moving object detection and identification systems in outdoor video. cause major problems in outdoor video motion detection systems. It is well known that tree leaves in the wind, moving clouds etc. On the other hand, there is very little research on dynamic texture detection in video. Objective of the Showcase Project : Researchers extensively studied 2-D textures and related problems in the field of image processing. In this showcase, (i) we develop real-time dynamic textures detection methids in video and (ii) present solutions to video object classification based on motion information. Examples of dynamic textures in video include fire,smoke,cloude,trees in the wind, sky, sea and ocean waves etc. Summary: Dynamic textures are common in natural scenes.
#LOGOIST ALTERNATIVE SOFTWARE#
Kyriati)ĬOMPUTER VISION BASED FIRE DETECTION SOFTWARE
Leaders: Enis Cetin, Bilkent University and Dimitry Chetverikov, MTA SZTAKI