Chaotic characteristic parameter-based motion mode video segmentation and traffic condition identification method

A technology of chaotic features and traffic conditions, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as large Lyapunov index, not suitable for video segmentation, etc., achieve simple algorithm, broad market prospects and application value Effect

Inactive Publication Date: 2013-02-13
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

But the maximum Lyapunov index is not suitable for video segmentation

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  • Chaotic characteristic parameter-based motion mode video segmentation and traffic condition identification method
  • Chaotic characteristic parameter-based motion mode video segmentation and traffic condition identification method
  • Chaotic characteristic parameter-based motion mode video segmentation and traffic condition identification method

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Embodiment Construction

[0026] In order to better understand the technical scheme of the present invention,

[0027] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0028] The present invention comprises the following steps:

[0029] (1) Calculate the eigenvector matrix

[0030] Such as figure 1 As shown, in this embodiment, the feature value of each pixel point that changes with time is obtained first. Then the feature quantity is composed into a feature vector, and each pixel in the video is represented by this feature vector. Thus turning the entire video into a matrix of feature vectors. Let us first introduce the basic concepts of chao...

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Abstract

The invention discloses a chaotic characteristic parameter-based motion mode video segmentation and traffic condition identification method, which comprises the following steps of: 1, calculating a characteristic vector matrix; 2, segmenting a video; 3, comparing clustering results; 4, retrieving the video; and 5, classifying the video. Characteristic parameters of the video are extracted, and new characteristic vectors are formed, so that the dynamic information of the video can be well described, and the method can be widely applied to various civil and military systems such as video monitoring systems, video conference systems, industrial product detection systems, robot visual navigation systems and military target detection and classification systems, and has broad market prospect and high application value.

Description

technical field [0001] The invention relates to a classification method in the technical field of computer pattern recognition, in particular to an algorithm for video segmentation and traffic condition recognition based on chaotic feature quantities. Background technique [0002] Video segmentation is a research hotspot in the field of computer vision and pattern recognition. Accurately classifying different motion patterns in videos has broad application prospects in both civilian and military applications. For example, through video surveillance, different traffic conditions (congestion, moderate congestion, less traffic flow) are classified. Aiming at the problem of video segmentation, scholars at home and abroad have proposed many methods. [0003] The main methods of video segmentation are based on motion information, based on models and based on spatio-temporal information. Based on motion information, there are optical flow method and change detection method. The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 胡士强王勇
Owner SHANGHAI JIAO TONG UNIV
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