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Target detection method and device

A target detection and target technology, applied in the computer field, can solve the problems of low detection efficiency and slow detection speed, and achieve the effect of improving target detection efficiency

Active Publication Date: 2018-05-08
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many target detection methods in related technologies, however, these methods all have the disadvantages of slow detection speed and low detection efficiency in the actual detection process

Method used

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  • Target detection method and device

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Embodiment Construction

[0053] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0054] figure 1 It is a flowchart of a target detection method shown according to an exemplary embodiment. like figure 1 As shown, the method is used in a terminal device (for example, a mobile phone, a tablet computer, etc.) or a server. A target detection method according to an embodiment of the present disclosure includes:

[0055] In step S11, receive the image to be detected; ...

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Abstract

The invention relates to a target detection method and device. The method comprises the steps that a to-be-detected image is received; and a target detection network model is utilized to determine category information and position information of a moving target in the to-be-detected image, wherein the target detection network model is determined by removing channels with parameter weights being zero in a faster region convolutional neural network (Faster RCNN). According to the embodiment, the to-be-detected image is received, the parameter-sparse target detection network model, which is determined by removing the channels with the parameter weights being zero in the Faster RCNN, is utilized to determine the category information and the position information of the moving target in the to-be-detected image, the parameter-sparse target detection network model can quickly determine the category information and the position information of the moving target, and therefore target detection efficiency is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a target detection method and device. Background technique [0002] Target detection is to detect whether there is a target to be detected in the picture (such as a moving pedestrian, vehicle, etc. in the picture), and to determine the position of the target when there is a target. There are many object detection methods in the related art, however, these methods all have the disadvantages of slow detection speed and low detection efficiency in the actual detection process. Contents of the invention [0003] In order to overcome the problems existing in related technologies, the present disclosure provides a target detection method and device. [0004] According to a first aspect of an embodiment of the present disclosure, a target detection method is provided, the method comprising: [0005] Receive the image to be detected; [0006] Using the target detectio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/73G06N3/08
CPCG06N3/08G06T2207/20081G06T2207/20084G06T7/251G06T7/75
Inventor 张水发
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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