Target detection method and device based on computer vision

A technology of computer vision and target detection, which is applied in the field of computer vision to achieve the effect of improving the detection accuracy

Pending Publication Date: 2022-06-03
INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a computer vision-based

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  • Target detection method and device based on computer vision
  • Target detection method and device based on computer vision
  • Target detection method and device based on computer vision

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Embodiment Construction

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0065] figure 1 It is a flowchart of a computer vision-based target detection method in a complex environment in an embodiment of the present invention, and the method includes the following steps:

[0066] S101: Collect an RGB image of a foreground area, perform preprocessing on the RGB image of the foreground area, and obtain a segmentation binary map of the foreground target area;

[0067] In a specific embodiment of the present i...

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Abstract

The invention discloses a target detection method and device based on computer vision in a complex environment, and the method comprises the steps: collecting an RGB image of a foreground region, carrying out the preprocessing of the RGB image of the foreground region, and obtaining a foreground target region segmentation binary image; analyzing the foreground target area segmentation binary image, and extracting various morphological features of the target area; analyzing various morphological characteristics of the target area, and dividing the target area into a shielded isolated target area and an overlapped target area; carrying out contour segmentation on the shielded isolated target area and the overlapped target area, and extracting effective contour segments; performing circle fitting on the target shape in the effective contour fragment by adopting a circle fitting method, performing comprehensive analysis on a fitted circle, and positioning a potential target area; eliminating interference, and identifying and obtaining a specific target of the potential target area; according to the embodiment of the invention, the target instance detection accuracy of a natural complex environment can be improved.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a target detection method based on computer vision in a complex environment. Background technique [0002] RGB images collected from natural and complex environments usually contain target objects and other non-target objects, but non-target objects in different scenes usually show different color characteristics, in which target objects can clearly distinguish non-target objects, so the color difference method can be used. Perform target area extraction. [0003] Most of the targets in the images collected in the natural complex environment have overlapping areas or are occluded by other non-target objects, so that the potential foreground area of ​​the extracted target has the phenomenon of target adhesion or missing local areas of the target, and it is difficult to accurately locate the target area. Affects the target segmentation effect. Even the texture features of...

Claims

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Application Information

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IPC IPC(8): G06V10/26G06V10/28G06V10/30G06V10/48G06K9/62G06N20/10
CPCG06N20/10G06F18/2411Y02A10/40
Inventor 雷欢唐宇焦泽昱钟震宇梁俊雄陈再励庄家俊侯超钧马敬奇
Owner INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI
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