Detecting regions of dynamic texture

Amiaz, Tomer and Fazekas, Alexandru and Csetverikov, Dmitrij and Kiryati, Nahum (2007) Detecting regions of dynamic texture. In: SSVM 2007. 1st international conference. Ischia, 2007. (Lecture notes in computer science 4485.).

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Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropriate for fluid and gaseous materials. For these materials a variant of this assumption, which we call the brightness conservation assumption should be employed. Under this assumption an object's brightness can diffuse to its neighborhood. We propose a method for detecting regions of dynamic texture in image sequences. Segmentation into regions of static and dynamic texture is achieved by using a level set scheme. The level set function separates the images into areas obeying brightness constancy and those which obey brightness conservation. Experimental results on challenging image sequences demonstrate the success of the segmentation scheme and validate the model.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: dynamic texture, detection, segmentation, optical flow, brightness conservation
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Geometric Modelling and Computer Vision Laboratory
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 15:29
Last Modified: 11 Dec 2012 15:29

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