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Target detection method and device

A technology for target detection and frame detection, applied in the computer field, can solve the problems of inability to detect small targets, difficult to meet real-time applications, and large amount of calculation of the scheme, achieve good real-time detection effects, meet real-time application requirements, and reduce calculations. amount of effect

Inactive Publication Date: 2019-12-31
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] Existing solutions have a large amount of calculations, are difficult to meet the needs of real-time applications, and cannot detect small targets

Method used

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  • Target detection method and device
  • Target detection method and device

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Embodiment Construction

[0031] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0032] figure 1 is a schematic diagram of main steps of a target detection method according to an embodiment of the present invention.

[0033] Such as figure 1 As shown, the object detection method in the embodiment of the present invention mainly includes the following steps S101 to S103.

[0034] Step S101: Generate a feature map of an input image using a selected la...

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Abstract

The invention discloses a target detection method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of generating a feature map of aninput image by using a selected layer of a lightweight convolutional neural network; generating a multi-scale detection frame according to the feature map, wherein the multi-scale detection frame hasa scale and an aspect ratio corresponding to a detection target; and carrying out classification and regression processing on the multi-scale detection box to determine the detection target and the position information of the detection target in the input image. According to the embodiment, the calculation amount of target detection can be reduced, the real-time application requirement is met, and a small target can be detected.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a target detection method and device. Background technique [0002] Target detection is a key technology used in automatic driving. Accurately locating the position of the detected target in the image can well assist the decision-making of automatic driving. The current target detection methods mainly include YOLO (You OnlyLook Once, a target detection method), SSD (Single Shot MultiBox Detector, a target detection method) and Faster RCNN (a faster convolutional neural network based on image regions), among which , Faster RCNN shows the best performance. However, the existing Faster RCNN method is computationally intensive when applied to target detection, which is difficult to meet the needs of real-time applications, and cannot detect smaller targets such as traffic signs and people in distant locations. [0003] In the course of realizing the present invention, the invento...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06N3/04
CPCG06V20/56G06V10/255G06N3/045
Inventor 张立成
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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