Target detection method and device, electronic equipment and storage medium

A technology for target detection and frame detection, which is applied in the field of image processing and can solve problems such as inability to meet 3D detection accuracy requirements, accuracy loss, and limiting the performance limit of network models.

Pending Publication Date: 2022-03-01
SHENZHEN SENSETIME TECH CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the separate training of subtasks, there is a loss of accuracy, which limits the upper limit of the performance of the network model and cannot meet the accuracy requirements of 3D detection.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Target detection method and device, electronic equipment and storage medium
  • Target detection method and device, electronic equipment and storage medium
  • Target detection method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. The components of the disclosed embodiments generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those ski...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a target detection method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of a to-be-detected image, and obtaining a feature map of the to-be-detected image; based on the feature map, generating a depth map corresponding to a projection area where a target object in the to-be-detected image is projected to the ground; and determining three-dimensional detection information of the target object based on the depth map and the feature map. According to the invention, the projection area is associated with the target object to a certain extent, so that the depth map corresponding to the local ground can pertinently guide the feature map of the target object on the local ground to carry out three-dimensional detection, and the detection precision is improved.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to a target detection method, device, electronic equipment, and storage medium. Background technique [0002] Compared with two-dimensional (2D, 2-Dimension) target detection tasks, three-dimensional (3D, 3-Dimension) target detection tasks are more difficult and more complex, and often need to detect the 3D geometric information and Semantic information mainly includes the length, width, height, center point and orientation angle information of the target. Among them, the 3D target detection of monocular images is widely used in various fields (such as the field of unmanned driving) due to its economical and practical characteristics. [0003] However, 3D object detection techniques based on monocular images mainly rely on some external subtasks, which are responsible for performing tasks such as 2D object detection, depth map estimation, etc. Since the sub...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06V10/44G06V10/762G06V10/26G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23213G06F18/23
Inventor 刘配杨国润王哲石建萍
Owner SHENZHEN SENSETIME TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products