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Target object detection method and device, computing equipment and medium

A technology of target objects and detection methods, which is applied in computing, computer components, neural learning methods, etc., can solve the problems of multiple false detections of target objects, low detection accuracy, and discounts in practical value, and achieve the effect of improving detection efficiency

Pending Publication Date: 2020-02-11
SHANGHAI JILIAN NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when using the above algorithm to detect the target object, because only the information of the target object itself is combined, there are many false detections in the detected target object, the detection accuracy is not high, and the practical value is greatly reduced.

Method used

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  • Target object detection method and device, computing equipment and medium
  • Target object detection method and device, computing equipment and medium
  • Target object detection method and device, computing equipment and medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0027] figure 1 It is a flow chart of a method for detecting a target object provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where a target object is detected by using the information of the object itself and the information of the scene where the object is located. This method can be executed by a target object detection device. The target object detection device can be implemented by software and / or hardware, and the target object detection device can be configured on a computing device, specifically including the following steps:

[0028] Step 110, acquiring an image to be detected.

[0029] In the embodiment of the present invention, the above-mentioned image to be detected may be taken, such as taken by a camera or video camera in a mobile terminal, or may be obtained by crawling from the Internet, and the source of the image to be detected is not limited here.

[0030] Step 120, identifying the scene information of the i...

Embodiment 2

[0039] figure 2 It is a flow chart of a target object detection method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above embodiments, as shown in figure 2 As shown, the method specifically includes:

[0040] Step 210, establish the corresponding relationship between the object and the scene.

[0041] Use the known prior relationship to divide the scene where the target object may be located, and establish the corresponding relationship between the object and the scene. For example, if the desk corresponds to the classroom scene, and the hospital bed corresponds to the hospital scene, etc., where a target object can be corresponding to Different scenes, such as scenes corresponding to apples include but not limited to orchard scenes, restaurant scenes, etc. A scene can also correspond to multiple target objects, if the corresponding target objects in a garden scene can include but not limited to grapes, oranges, and pea...

Embodiment 3

[0059] image 3 It is a flow chart of a target object detection method provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the above embodiments, as shown in image 3 As shown, the method specifically includes:

[0060] Step 310, acquire the image to be detected, identify the scene information of the image to be detected and the category information of the target object in the image to be detected.

[0061] Step 320 , judging whether the category information of the detected target object matches the scene information according to the pre-established correspondence between the object and the scene, and if they match, retain the category information of the target object.

[0062] Step 330, identifying the position information of the target object in the image to be recognized, and intercepting an image of the target object from the image to be detected according to the position information.

[0063] Step 340: Perform object category ...

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Abstract

The embodiment of the invention discloses a target object detection method and device, computing equipment and a medium. The method comprises the following steps: identifying the scene information ofthe to-be-detected image and the category information of the target object in the to-be-detected image; judging whether the category information and the scene information of the detected target objectare matched or not according to the pre-established corresponding relation between the object and the scene. The problems that when the target object is detected, many false detections exist, and thedetection accuracy is not high are solved. When the image is detected, the technical scheme of the embodiment of the invention improves the detection efficiency of the target object and realizes a more accurate effect of detecting the target object by combining the scene information represented by the whole image while utilizing the information of the object.

Description

technical field [0001] Embodiments of the present invention relate to computer application technology, and in particular to a target object detection method, device, computing device and medium. Background technique [0002] With the development of science and technology, the technology of combining computer and vision algorithms to perceive image content can be used in all walks of life. The application of this technology not only reduces manual mechanized work, but also improves the efficiency of repetitive work. The target object detection is to detect and recognize the target object in the image is only a small part of this technology, but it has a strong social significance and a wide range of applications. [0003] In the existing technology, most target object detection is based on the convolutional neural network in deep learning to detect a single frame of pictures or to analyze and identify the RGB information and depth information of the image through the convolut...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V20/10G06V2201/07G06N3/045
Inventor 金明刘维
Owner SHANGHAI JILIAN NETWORK TECH CO LTD
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