Method and instrument for detecting and analyzing intelligent network vision target

A target detection and intelligent network technology, which is applied to instruments, TVs, alarms, etc., can solve the problem of threatening video images, and achieve the effects of improving monitoring effects, saving storage resources, and reducing burdens

Inactive Publication Date: 2009-07-29
SHENZHEN BELLSENT INTELLIGENT SYST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an intelligent network visual target detection and analysis method and instrument to solve the technical problem of automatically detecting whether the video screen of the monitoring system is threatening and sending an alarm signal

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  • Method and instrument for detecting and analyzing intelligent network vision target
  • Method and instrument for detecting and analyzing intelligent network vision target
  • Method and instrument for detecting and analyzing intelligent network vision target

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Embodiment Construction

[0023] The invention is composed of an encoder, a DSP processor with core algorithms, a pan / tilt control unit and an audio processing unit, and can convert the input analog video signal into a digital video signal of 25 frames / second MPEG-4 encoding format after analysis and processing , It can also output high-fidelity analog video signal in a loop. The analog video signal collected by the camera is converted into an analyzable digital signal by the encoder, and then analyzed and processed by the DSP digital processor with the core algorithm recorded. After the threat target in the video is found, the PTZ control unit continues to send instructions to the camera The pan / tilt implements PTZ tracking on the threat target, keeps the target at the center of the screen at all times, and can zoom the screen according to the moving speed of the target, which not only ensures the continuity of tracking, but also enables the back-end monitoring center to obtain clear and complete image...

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Abstract

The invention discloses a vision object detection and analysis method of an intelligent network and a device thereof. The method comprises the following steps: a standard television signal is obtained from a fixed camera, compiled to MPEG-4 format and then sent to a digital signal image processing and analysis unit; a three-dimensional modeling is carried out in the digital signal image processing and analysis unit through a reference object in a detected area; when a moving object appears in a monitored area, the moving object is separated from background frames and compared with entries of a database model which is embedded in a storage unit and is called out, such as the size of the moving object, moving track characteristics and shapes of the moving object, which are output from; when large parts of the entries are identical, the moving object is identified as a dangerous object and the alarm is sent immediately; simultaneously, the digital signal image processing and analysis unit outputs a video recording instruction to a monitoring device. The method can solve and automatically detect the technical problems whether the video frame in a monitoring system has the dangerous object and the alarm signal is sent or not.

Description

technical field [0001] The invention relates to a security monitoring method and equipment. Background technique [0002] In the monitoring area, once there is a person or vehicle intruding, or the change of the object, the characteristics of the video image will change, and this change is called abnormal or threatening. When the intelligent network visual target detection analyzer finds that the video image is abnormal, it will immediately send out an alarm signal, but the traditional monitoring system does not have this function. It can only be judged whether it is threatening by the monitoring personnel closely watching the monitoring screen. The experimental results show that after staring at the video screen for 22 minutes, the human eye will turn a blind eye to 95% of the activity information in the video screen. Because of this, the traditional monitoring system often fails to see the security personnel in time when the accident occurs, which leads to the further ex...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B13/196H04N5/232H04N7/18
Inventor 郑长春
Owner SHENZHEN BELLSENT INTELLIGENT SYST
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