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Dynamic texture recognition method on basis of image sequence

A dynamic texture and image sequence technology, applied in character and pattern recognition, instruments, computer components, etc.

Active Publication Date: 2013-05-22
SUZHOU INSTITUE OF WUHAN UNIV
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  • Dynamic texture recognition method on basis of image sequence
  • Dynamic texture recognition method on basis of image sequence
  • Dynamic texture recognition method on basis of image sequence

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Embodiment Construction

[0058] The technical scheme of the present invention can be realized by those skilled in the art by means of computer software to automatically run the process. The present invention will be further described below with specific examples.

[0059] Embodiments carry out dynamic texture recognition through three-dimensional HMT model parameters, including the following steps:

[0060] Step 1, 3D-HMT modeling for various standard dynamic texture data to construct a sample model library

[0061] Similar to the general pattern recognition algorithm framework, the classification and recognition of dynamic textures also need to establish a standard dynamic texture library. The specific implementation process is described as follows:

[0062] Step 1.1, if the number of dynamic texture types that support recognition is K, select K segments of image sequences containing corresponding standard dynamic textures to construct a standard dynamic texture sample library DL, if the t-th segmen...

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Abstract

A dynamic texture recognition method on the basis of an image sequence is used for realizing dynamic texture recognition by comparison of three-dimension HMT (Hidden Markov Tree) model parameters and includes performing Surfacelet transformation to the image sequence to obtain a coefficient matrix, particularly realizing multiscale decomposition to the image sequence by pyramid decomposition, decomposing three-dimension signals to different directions through 3D-DFB(3D directional filter banks) which are in series connection with two 2D-DFB, saving sub-band data acquired after the Surfacelet transformation through the three-dimension matrix, generating a coefficient matrix through extracted feature vectors; building a three-dimension HMT model to the coefficient matrix by details of realizing distributed modeling of coefficient by utilizing a Gauss mixture model, realizing inter-scale continuous modeling of the coefficient by utilizing the three-dimension HMT model, and then solving parameters of the HMT model by an EM algorithm. Corresponding expansion schemes are provided for handling the situation that processed data contain different types of dynamic textures. The dynamic texture recognition method is easy, high in adaptability and good in recognition effect.

Description

technical field [0001] The invention relates to the field of dynamic texture recognition for image sequences, in particular to a dynamic texture recognition method combining Surfacelet transformation and a three-dimensional HMT model. Background technique [0002] With the continuous development of computer technology, the forms of information are becoming more and more abundant. Videos account for a large proportion of all information forms, and this proportion will continue to expand. Dynamic texture refers to an image sequence that describes a certain dynamic landscape with time-related repetitive characteristics, and is a special type of video data. Dynamic textures are spatially repetitive and temporally stable, and widely exist in nature, such as ocean waves, waterfalls, flying flags, flying flocks of birds, and so on. Dynamic textures are different from static textures. Static textures are just texture images of a scene at a certain moment, while dynamic textures can...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 赵俭辉赵洋袁志勇
Owner SUZHOU INSTITUE OF WUHAN UNIV
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