Dynamic texture identification method based on chaos invariant

Abstract

The invention discloses a dynamic texture identification method based on a chaos invariant. The dynamic texture identification method based on the chaos invariant comprises the steps of: (1) calculating a characteristic vector matrix, to be specific, regarding each pixel with the position changeable along with the time of a video as a chaos time sequence, calculating an embedding dimension of each chaos time sequence, delaying the embedding time, forming a characteristic vector by a box dimension, a information dimension, a box dimension, a mean value and a variance, representing each pixel point position of the video by the characteristic vector to obtain a characteristic vector matrix; and (2) performing EDM (Electronic Distance Measurement) identification or BOW (Browsable On-air Witness) identification on the characteristic vector matrix obtained in the step (1). By extracting the characteristic vector of the video and composing a new characteristic vector, the dynamic texture identification method based on the chaos invariant, disclosed by the invention, has the advantages of describing the dynamic texture video well, being widely applied to various civil and military systems such as a dynamic texture identification system, a dynamic texture detection system, a dynamic texture retrieval system, a military target detection and classification system, and obtaining a wide market foreground and an application value.

Description

technical field [0001] The invention relates to a classification method in the technical field of computer pattern recognition, in particular to a dynamic texture recognition method based on chaos invariants. Background technique [0002] Dynamic texture is a research hotspot in the field of computer vision and pattern recognition. The smoke, river water, and flames we see every day can all be regarded as dynamic textures. Classification of dynamic textures in video images has broad application prospects in both civil and military applications. In response to this problem, domestic and foreign scholars have proposed many methods, the main research methods can be divided into three types: the physical method is to build the first principal component of the dynamic texture into a model. This model can be used for texture synthesis, such as synthetic smoke, water, etc. The disadvantage of this method is that it is for a certain class of dynamic textures, so it is difficult to...

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Problems solved by technology

However, the chaotic feature quantity used in this paper describes the motion state of the system and cannot be used to identify dynamic textures.

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