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Abnormal person tracking system design based on deep learning

A deep learning and tracking system technology, applied in the field of intelligent video surveillance, can solve the problems of complex environment, less tracking and research of violent terrorist personnel, appearance deformation, etc.

Pending Publication Date: 2022-04-08
HENAN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few studies on the tracking of violent terrorists, and the results are very lacking
In violent and terrorist scenarios, due to the complex environment, similar background interference, appearance deformation, and lighting changes, there are still huge challenges in real-time tracking of targets.

Method used

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  • Abnormal person tracking system design based on deep learning
  • Abnormal person tracking system design based on deep learning
  • Abnormal person tracking system design based on deep learning

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Experimental program
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Embodiment Construction

[0035] Below in conjunction with the accompanying drawings, the design of the abnormal personnel tracking system in the present invention will be described in detail:

[0036] Step 1: Programming in Python language.

[0037] Step 2: Based on the integration of the programming language and Qt library in step 1, the PyQt framework is adopted. Runs on all major operating systems, providing a multi-platform toolkit.

[0038] Step 3: In the Pycharm tool, use the Python language to develop and debug.

[0039] Step 3-1: Download Pycharm Professional Edition from the official website;

[0040] Step 3-2: Double-click to open and install, select the directory to be installed;

[0041] Step 3-3: Configure Pycharm, add third-party libraries, find and install pyqt5, pyqt5-sip, pyqt5-tools;

[0042] Step 3-4: Configure PyQt, build QTdesigner and PyUIC tools;

[0043] Step 3-5: Run the Tracking.py file to display the interface.

[0044] Step 4: After the program is initialized, select ...

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Abstract

With the development of the Internet and artificial intelligence, the demand of people for a visual tracking technology is continuously changed, and an abnormal person tracking system is designed and realized for the demand. The platform is operated on Pycharm software, a Python language is adopted for programming, and a page is designed on a PyQt framework. The system is composed of an off-line tracking module and an on-line tracking module, the off-line tracking module mainly tracks local videos, and the on-line tracking module mainly tracks videos under a camera.

Description

technical field [0001] The present invention relates to technologies such as computer vision, image processing, and pattern recognition, and specifically relates to the design of a tracking system for abnormal personnel based on deep learning. It belongs to the field of intelligent video surveillance. Background technique [0002] In recent years, with the rapid development of computer vision technology, video-based target tracking algorithms have become a research hotspot in research institutes and universities at home and abroad. Target tracking technology usually builds a robust model based on the target and background information in the video to predict the shape, size, position, trajectory and other motion states of the target in the video, which can serve the behavior prediction, behavior understanding and Analysis, and then complete more advanced tasks. Target tracking is currently applied in a wide range of fields, including video surveillance, unmanned driving, mi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/20G06F8/76G06N3/04
Inventor 高辉邓淼磊赵文君张德贤
Owner HENAN UNIVERSITY OF TECHNOLOGY