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Target detection method and related product

A target detection and target technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of many iterations and high computational complexity, and achieve the effect of reducing the number of iterations and computational complexity

Active Publication Date: 2019-05-28
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the NMS algorithm needs to be traversed one by one due to its own iteration-traversal-elimination algorithm nature, with a large number of iterations and high computational complexity.

Method used

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  • Target detection method and related product
  • Target detection method and related product
  • Target detection method and related product

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0053] The terms "first", "second", "third" and "fourth" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed ste...

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Abstract

The embodiment of the invention provides a target detection method and a related product. The method comprises the steps of obtaining a to-be-processed image; inputting the to-be-processed image intoa preset convolutional neural network to obtain M first-class frames, each first-class frame corresponding to a score, and M being an integer greater than 1; According to the score of each frame in the M first-class frames from high to low, sorting the M first-class frames; setting all the frames as 1, selecting one frame from the M first-class frames after sorting as a target frame, and setting the frame of the target frame as 0; determining the overlapping area between an ith frame and the target frame, wherein the ith frame is a frame with any mask being 1; And when the overlapping area isgreater than a preset threshold, setting the mask of the ith frame as 0. According to the embodiment of the invention, the calculation complexity can be reduced, and the NMS operation time can be shortened.

Description

technical field [0001] The present application relates to the technical field of target detection, in particular to a target detection method and related products. Background technique [0002] With the rapid development of electronic technology, electronic devices (such as mobile phones, tablet computers, etc.) are becoming more and more intelligent. For example, electronic devices can take pictures and realize target detection. However, in the detection algorithm, non-maximum suppression is often used The (nonmaximum suppression, NMS) method filters out overlapping frames (a detected object is a frame). However, the NMS algorithm needs to be traversed one by one due to its own iteration-traversal-elimination algorithm nature, with a large number of iterations and high computational complexity. Contents of the invention [0003] Embodiments of the present application provide a target detection method and related products, which can reduce the number of iterations and com...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06V10/26G06V10/40
Inventor 陈乐刘海军顾鹏
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD