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Automatic tracing identification system for artificial neural control

An automatic tracking and identification system technology, applied in closed-circuit television systems, character and pattern recognition, image data processing, etc., can solve the problem of low intelligence, inability to determine the exact movement trajectory and detailed characteristics of suspicious targets, and lack of preventive capabilities, etc. question

Inactive Publication Date: 2010-01-27
侯荣琴
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AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a kind of neural automatic tracking and identification system to overcome the shortcomings of the prior art that the monitoring image is fixed, there is no ability to prevent, the exact trajectory and details of suspicious targets cannot be determined, and the degree of intelligence is low.

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  • Automatic tracing identification system for artificial neural control
  • Automatic tracing identification system for artificial neural control
  • Automatic tracing identification system for artificial neural control

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Embodiment Construction

[0025] The above and other features and advantages of the present invention will be described in detail below with reference to the accompanying drawings.

[0026] figure 1 It is a frame diagram of functional modules of the nerve-like control automatic tracking recognition system of the present invention. The overall system consists of a fixed field of view video acquisition module 1, a full-featured variable field of view video acquisition module 2, a video image recognition and judgment algorithm module 3, a neural control module 9, a moving object trajectory tracking module 6, database comparison and alarm Judgment module 4, monitoring feature entry and rule setting module 7, light monitoring and control module 8, alarm output, display and storage module 5, background light source module 10, and safety monitoring sensor 11. The fixed field of view video acquisition module 1 mainly uses a plurality of fixed field of view bullet or dome cameras. According to the requirements...

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Abstract

The invention provides an automatic tracing identification system for artificial neural control. The system comprises a fixed viewing field video acquisition module, a full-functional variable viewing field video acquisition module, a video image identification and judgment algorithm module, an artificial neural control module, a moving object track tracing module, a database comparison and alarm judgment module, a monitoring characteristic entering and rule setting module, a light monitoring and controlling module, a background light source module, an alarm output, display and storage module and a safety monitoring sensor. The system fully solves the problems of unclear doubtful target characteristics, single function, low intelligence degree and the like in post processing and images of the prior image monitoring system, uses the artificial neural control, biological identification technology and intelligent image identification algorithm, and has the characteristics of high intelligence degree, precaution, clear doubtful object images, high cost performance and the like.

Description

technical field [0001] The invention relates to an automatic tracking and identification system, in particular to a nerve-like automatic tracking and identification system. Background technique [0002] With the development of human civilization, people's demand for safety is getting higher and higher. After investigation and processing, it has become "prevention before the event, timely stop during the event, and rapid processing after the event", which has become the development direction of smart security technology. [0003] The traditional security monitoring system has the following problems: 1. The monitoring image is fixed, and it is difficult to capture clear features of suspicious objects in many cases, especially the dead angle of the image, which makes the subsequent investigation difficult; 2. There is no precaution Ability, without the ability of intelligent recognition algorithm and system self-learning ability, it is impossible to detect whether the moving a...

Claims

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Application Information

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IPC IPC(8): H04N7/18G06T7/00G06K9/00G08B13/196
Inventor 侯荣琴
Owner 侯荣琴
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