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Surveillance-oriented video atlas construction and mining method and device

A monitoring video and map technology, applied in the field of computer vision, can solve the problems of difficult processing of monitoring video data and unsatisfactory data analysis.

Active Publication Date: 2019-02-15
武汉魅瞳科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current relational database is difficult to handle these massive unstructured surveillance video data, and it is not ideal to rely on the tables in the relational database to maintain this information and achieve subsequent data analysis

Method used

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  • Surveillance-oriented video atlas construction and mining method and device
  • Surveillance-oriented video atlas construction and mining method and device
  • Surveillance-oriented video atlas construction and mining method and device

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Embodiment Construction

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] With the rapid development of surveillance technology, video surveillance has become an important part of the security system, and the scope of demand for video surveillance in various industries in society continues to expand. Therefore, video surveillance is changing from traditional public security and banks to transportation, venues, and...

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Abstract

The embodiment of the present invention provides a method for constructing and mining a monitoring-oriented video map, equipment, by constructing graph database and key-value database as data persistence storage of knowledge map, the depth convolution neural network is used for face recognition automatically, greatly reducing the intensity of manual scrutiny, Using a combination of shared convolution neural network and deep deconvolution network to automatically label the attributes of pedestrian objects, the unstructured video data is converted into structured graph data storage, it can satisfy the character retrieval based on censorship surveillance video, Trajectory mining, group center mining and other security requirements, can efficiently query node attribute information, can effectively visualize the relationship between nodes, using backbone information database and detailed information database storage methods, play their respective advantages, data storage and retrieval efficiency is high.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of computer vision, and more specifically, to a surveillance-oriented video map construction and mining method and device. Background technique [0002] With the development of technology, intelligent security has appeared in all aspects of people's lives. Surveillance cameras are installed in residential quarters, road monitoring, motor vehicles, banks and schools. And with the digitalization and large-scale of intelligent security, the data volume of surveillance video continues to grow, showing the characteristics of large data volume, unstructured data, and difficulty in obtaining valuable information. Therefore, developing a framework for automatically structuring surveillance video has extremely high practical significance in the application of surveillance video big data analysis. [0003] Knowledge graph is a key technical branch of artificial intelligence, which is widely used...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/71G06F16/732
Inventor 邹复好李开周檬刘鹏坤
Owner 武汉魅瞳科技有限公司
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