Target detection algorithm based on targeted potential areas analysis and application thereof

A target detection algorithm and area technology, applied in computing, computer components, instruments, etc., can solve the problems of not being able to recommend areas containing targets, and not being able to effectively evaluate target scores

Inactive Publication Date: 2016-07-20
HUNAN UNIV OF HUMANITIES SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The above methods usually only consider a certain feature to evaluate the target of the region, and often cannot effectively evaluate the target score, resulting in the inability to effectively recommend a small number of regions containing the target in the final region sorting

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  • Target detection algorithm based on targeted potential areas analysis and application thereof
  • Target detection algorithm based on targeted potential areas analysis and application thereof
  • Target detection algorithm based on targeted potential areas analysis and application thereof

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Embodiment 1

[0047] Embodiment 1 is a preferred embodiment of the present invention. as attached Figure 1-6 As shown, the present invention proposes a target detection algorithm based on target potential region analysis for color images acquired under visible light, which specifically includes the following steps:

[0048] S1: Obtain 640*480 color image data under visible light through the camera.

[0049] S2: Use an efficient image segmentation method (P.Felzenszwalb, D.Huttenlocher, Efficient graph-based image segmentation, International Journal of Computer Vision 59 (2004) 167-181.) to segment the image, and convert the image from pixel level to superpixel level.

[0050] S3: Quickly extract the edge map of the superpixel segmentation map, and obtain the size of the superpixel and its bounding rectangle.

[0051] S4: Use color similarity, texture similarity, small area priority and inclusion priority to merge the superpixel blocks obtained by segmentation to obtain the initial local ...

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Abstract

The invention discloses a target detection algorithm based on targeted potential areas analysis, comprising the following steps: acquiring image data through a camera, carrying out super pixel segmentation on the image, quickly extracting an edge map of a super pixel segmentation map, acquiring the size of super pixels and a bounding rectangle thereof, combining super pixel blocks obtained through segmentation to get an initial area set, and taking the bounding rectangles of the areas as an initial rectangle set; calculating the tightness score of a super pixel set in a local rectangle area, the contour score of an optimal contour and the compactness score of a salient super pixel set in the contour; fusing the tightness score, the contour score and the compactness score through a data driving approach to get a targeted score of a final evaluation area; and sorting the initial rectangle set in a descending order based on the score, and selecting a high-probability area for target detection. The algorithm of the invention can be used in robot vision navigation and automobile aided-driving.

Description

technical field [0001] The invention relates to machine vision technology, in particular to a target detection algorithm based on target potential area analysis and its application. Background technique [0002] Object detection is one of the important technologies in machine vision, widely used in object recognition, object tracking and scene analysis and other fields. However, traditional target detection methods use complex features combined with multi-scale pyramid search, and the algorithm efficiency is relatively low. In order to improve the efficiency of the target detection algorithm, the target latent region extraction method is introduced as a preprocessing algorithm for target detection to replace the traditional search method. This method quickly extracts a small number of target potential areas and sends them to the target detection algorithm in a simple and efficient way, greatly reducing the number of areas that need to be analyzed by the target detection alg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20G06K9/34G06K9/46G06K9/62G06K9/00
CPCG06V20/10G06V20/56G06V10/22G06V10/267G06V10/44G06V2201/07G06F18/25
Inventor 方智文李婷
Owner HUNAN UNIV OF HUMANITIES SCI & TECH
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