Institute of Information Theory and Automation

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Publication details

Dynamic texture as foreground and background

Journal Article

Chetverikov D., Fazekas S., Haindl Michal

serial: Machine Vision and Applications vol.22, 5 (2011), p. 741-750

research: CEZ:AV0Z10750506

project(s): GA102/08/0593, GA ČR, 507752,

keywords: Dynamic texture, Optical flow, SVD

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abstract (eng):

Depending on application, temporal texture can be viewed as either foreground or background. We address two related problems: finding regions of dynamic texture in a video and detecting moving targets in a dynamic texture. We propose efficient and fast methods for both cases. The methods can be potentially used in real-time applications of machine vision. First, we show how the optical flow residual can be used to find dynamic texture in video. The algorithm is a practical, real-time simplification of the sophisticated and powerful but time-consuming method (Fazekas et al. in Int J Comput Vis 82:48–63, 2009). We give numerous examples of detecting and segmenting fire, smoke, water and other dynamic textures in real-world videos acquired by static and moving cameras. Then we apply the singular value decomposition (SVD) to a temporal data window in a video to detect targets in dynamic texture via the residual of the largest singular value.


2012-12-21 16:10