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Target object detection method and device, storage medium and terminal

A technology of target object and detection method, applied in the field of image processing, can solve the problems of unsatisfactory foreign object detection effect and low foreign object detection accuracy

Pending Publication Date: 2021-09-14
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a target object detection method and device, storage medium, and terminal to at least solve the technical problem in the related art that the detection accuracy of foreign objects on the road is low, resulting in unsatisfactory foreign object detection effects

Method used

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  • Target object detection method and device, storage medium and terminal
  • Target object detection method and device, storage medium and terminal
  • Target object detection method and device, storage medium and terminal

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Embodiment 1

[0031] According to an embodiment of the present invention, an embodiment of a method for detecting a target object is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases steps shown or described may be performed in an order different from that herein.

[0032] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 1 A block diagram of the hardware structure of a computer terminal (or mobile device) for implementing a method for detecting a target object is shown. like figure 1As shown, the computer terminal 10 (or mobile device 10 ) may include one or more processors 102 (shown as 102a, 102b, . or a processing device such as a programmable logic device F...

Embodiment 2

[0101] According to an embodiment of the present invention, there is also provided an apparatus for implementing the above-mentioned method for detecting a target object, Figure 7 is a schematic diagram of an optional target object detection device according to an embodiment of the present invention, such as Figure 7 As shown, the device includes:

[0102] an acquisition unit 71, used to acquire an image to be recognized;

[0103] The input unit 73 is configured to input the image to be recognized into the first granularity machine learning model, output the first background image, and input the to-be-recognized image to the second granularity machine learning model, and output the second background image, wherein the first granularity The first update period of the machine learning model is greater than the second update period of the second granular machine learning model;

[0104] The determining unit 75 is configured to determine the target object based on the comparis...

Embodiment 3

[0119] Embodiments of the present invention may provide a computer terminal, and the computer terminal may be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the above-mentioned computer terminal may also be replaced by a terminal device such as a mobile terminal.

[0120] Optionally, in this embodiment, the above-mentioned computer terminal may be located in at least one network device among multiple network devices of a computer network.

[0121] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the method for detecting the target object: acquiring the image to be recognized; inputting the image to be recognized into the first granular machine learning model, outputting the first background image, and storing the image to be recognized. The recognized image is input to the second granularity machine learning model, and a second background image is output, wherein the fir...

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Abstract

The invention discloses a target object detection method and device, a storage medium and a terminal. The method comprises the following steps: acquiring a to-be-recognized image; inputting a to-be-recognized image into the first granularity machine learning model, outputting a first background image and inputting the to-be-recognized image into the second granularity machine learning model, and outputting a second background image, wherein the first updating period of the first granularity machine learning model is larger than the second updating period of the second granularity machine learning model; and determining a target object based on a comparison result of the first background image and the second background image. The technical problem that the foreign matter detection effect is not ideal due to the fact that the detection accuracy of the foreign matter on the road is low in the prior art is solved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a method and device for detecting a target object, a storage medium and a terminal. Background technique [0002] In the related art, when detecting foreign objects or obstacles (such as road gravel, branches, etc.) in areas such as roads and parks, it is generally detected by a moving target detection method, which is often aimed at larger objects. , such as vehicles driving on the road, pedestrians on the road, etc., to realize the detection of large foreign objects or obstacles; however, due to the wide variety of foreign objects on the road, different sizes, shapes, and colors, the foreign objects cannot be calibrated. The detection accuracy of foreign objects with small size, large shape change, and close color and background is low, resulting in unsatisfactory foreign object detection effect, and road light and shadow will have a greater impact on the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/217
Inventor 吴婷邓兵危春波杨吉锐刘云夫
Owner ALIBABA GRP HLDG LTD
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