Unlock instant, AI-driven research and patent intelligence for your innovation.

Image clustering method, device and equipment

An image clustering and image technology, applied in the field of image processing, can solve problems such as inaccurate clustering results and inaccurate policy parameters, achieve accurate and reliable clustering results, improve accuracy and universality, and avoid errors.

Pending Publication Date: 2022-01-28
HANGZHOU HIKVISION DIGITAL TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the above method, the user needs to manually configure the policy parameters based on experience. This policy parameter may not be accurate, resulting in inaccurate clustering results based on this policy parameter.

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
  • Image clustering method, device and equipment
  • Image clustering method, device and equipment
  • Image clustering method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, rather than limiting the present application. As used in this application and the claims, the singular forms "a", "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.

[0040] It should be understood that although the embodiments of the present application may use terms such as first, second, and third to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second ...

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 an image clustering method, device and equipment. The method comprises the steps of determining whether a user is a target user based on a classification image and a reference image of the user, wherein if the face similarity between the classified image and the reference image is greater than a first similarity threshold value, and the human body similarity between the classified image and the reference image is smaller than a second similarity threshold value, the user is determined as a target user; counting a target number of target users in all the users; determining whether the initial strategy parameters need to be re-determined or not based on the target number; if yes, determining a target strategy parameter by using the obtained training data set, wherein the target strategy parameter is used for replacing the initial strategy parameter, and clustering is carried out based on the target strategy parameter. Through the technical scheme of the invention, the strategy parameters can be dynamically adjusted, the adaptive strategy parameters are generated, and the accuracy of image clustering is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image clustering method, device and equipment. Background technique [0002] Image clustering refers to identifying multiple images of a user, and setting the same label for multiple images of the same user, which serves as the unique identifier of the user. The user's multiple images, the user's attribute data (that is, the data used to represent the user's attributes, such as gender, age group, etc., which are not limited), the user's latitude and longitude information, etc. are known through the unique identifier. When it is necessary to manage the user, the real-time location and walking track of the user can be analyzed through image clustering. [0003] In order to realize image clustering, it is necessary to pre-configure policy parameters (such as similarity threshold, etc.), on this basis, after obtaining an image, it is necessary to calculate the ...

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): G06V40/16G06V10/74G06V10/762G06K9/62G06N20/00
CPCG06N20/00G06F18/23G06F18/22
Inventor 陈士辉李甲甲罗杰傅广怀陈益新
Owner HANGZHOU HIKVISION DIGITAL TECH