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Structured target detection method and device, equipment and storage medium

A target detection and structured technology, applied in the field of computer vision, can solve problems such as slow speed and few types of targets, and achieve the effect of improving performance

Pending Publication Date: 2022-06-24
SHENZHEN SENSETIME TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current common video structuring technology has problems such as fewer types of objects, simpler functions, or slower speed when there are many objects.

Method used

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  • Structured target detection method and device, equipment and storage medium
  • Structured target detection method and device, equipment and storage medium
  • Structured target detection method and device, equipment and storage medium

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Embodiment Construction

[0058] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. The following examples are used to illustrate the present application, but are not intended to limit the scope of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0059] In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" can be the same or...

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Abstract

The embodiment of the invention discloses a structured target detection method and device, equipment and a storage medium. The method comprises the following steps: acquiring a batch of video frame images to be processed; performing target detection and tracking on at least two targets in the batch of video frame images to obtain a detection tracking result of each target; determining an association relationship between the at least two targets based on the detection tracking results of the at least two targets; based on the detection tracking result of each target, determining a target snapshot image corresponding to the target according to a preset frame selection strategy; the frame selection strategy is used for constraining the number of the target snapshot images of the same target; and based on the association relationship between the at least two targets and the target snapshot image of each target, determining a structured target of the batch of video frame images.

Description

technical field [0001] The present application relates to the field of computer vision, and relates to, but is not limited to, structured object detection methods, devices, equipment, and storage media. Background technique [0002] Video structural analysis is a common application of computer vision and deep learning technology in the field of video surveillance analysis. Generally, it mainly includes functions such as detection and tracking and feature attribute analysis of various targets centered on human beings. At present, the common video structuring technology has problems such as few target types, relatively simple functions, or slow speed when there are many targets. SUMMARY OF THE INVENTION [0003] Embodiments of the present application provide a structured target detection method, apparatus, device, and storage medium. [0004] The technical solutions of the embodiments of the present application are implemented as follows: [0005] In a first aspect, an emb...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/25G06V20/40G06V40/16G06T7/246G06T7/73
CPCG06T7/248G06T7/74G06T2207/10016G06T2207/30232G06T2207/30241G06T2207/30196G06T2207/30248
Inventor 杨佳杰
Owner SHENZHEN SENSETIME TECH CO LTD