A Region of Interest Analysis Method for Traffic Scenes
A technology for areas of interest and traffic scenes, applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve problems such as less research, and achieve the effect of avoiding training samples
Active Publication Date: 2020-10-09
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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However, these features are designed according to the target, and more space and texture information are used, and there is less research on the more general and fundamental question of "what is the region of interest?"
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[0061] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.
[0062] Reference will now be made in detail to embodiments of the invention, examples of which are illustrated in the accompanying drawings. The suffixes "module" and "unit" of elements are used here for convenience of description, and thus may be used interchangeably without any distinguishable meaning or function.
[0063] Aiming at the defects existing in the prior art, the embodiment of the present invention provides an ROI analysis method of a traffic scene, which generates a three-dimensional feature image by extracting features from the original traffic image, and then decompose...
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The invention discloses a method for analyzing an area of interest of a traffic scene. This method first extracts features from the input color traffic image frame sequence, extracts related features including color, statistics, texture, structure, etc., stacks all the extracted features, and finally obtains a three-dimensional data cube, which is the feature image; Each dimension of the feature image is vectorized to obtain a two-dimensional matrix V, which is subjected to dimension reduction processing, and the matrix is decomposed into two matrix W and H products by using the vertex component analysis method; for the matrix H, it Each column of can be two-dimensionalized to form an image with the same size as the input traffic image. In each image, there is a region of interest. Therefore, by extracting features and then decomposing them, the region of interest of the traffic scene is obtained, which solves the problem of unsupervised extraction of the region of interest in the image of the traffic scene.
Description
technical field [0001] The invention relates to an analysis method for exploring regions of interest in traffic scene images in the form of feature image decomposition, and belongs to the technical field of artificial intelligence. Background technique [0002] Common intelligent traffic image processing systems include four parts: segmentation, detection, recognition and tracking. For segmentation tasks, researchers often use thresholding methods based on visual experience or related priors. For detection and recognition tasks, researchers design different descriptors, such as edges, gradient orientation histograms, local binary patterns, and extended forms, to deal with them. For example, Ruta adopted the Canny edge detection operator and reported a 100% detection rate, but only for one traffic sign. Haar-like features are also widely used and have achieved certain results. Other features have also caught the researchers' attention. HOG is a typical feature. It forms f...
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IPC IPC(8): G06K9/00G06K9/32G06K9/46
CPCG06V20/54G06V10/25G06V10/56
Inventor 李毅徐斌扬砚世李小剑张伟
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP