Multi-preset point dynamic intelligent monitoring method applied to border defence video monitoring system

Abstract

The invention discloses a multi-preset point dynamic intelligent monitoring method applied to a border defence video monitoring system. A detection range is expanded: various detection modes are provided, including a preset point mode, a patrol path mode, a patrol scheme mode, a double-front end detector target measuring mode and a multi-front end detector target measuring mode, and omnibearing three-dimensional monitoring of border lines can be performed by us of the detection modes. Monitoring quality is improved: setting of monitoring rules can be performed on each path of video of each front end detector in a targeted manner, and the detection rate of monitoring targets (detection rate>=90%) is improved. The double-front end detector target measuring mode and the multi-front end detector target measuring mode can sufficiently utilize construction advantages of the front end detectors, continuously track monitoring targets and can obtain spatial position parameters, record and display a real-time trajectory, thereby contributing to cognition of a current monitoring target situation of monitoring personnel and command decision-making of a current situation of command personnel.

Description

technical field [0001] The invention belongs to the technical field, and in particular relates to a multi-preset point dynamic intelligent monitoring method applied to a frontier defense video monitoring system. Background technique [0002] With the help of powerful computer data processing capabilities, dynamic intelligent monitoring uses technologies such as photoelectric control, embedded applications and development, digital image processing, image pattern recognition, computer vision and monitoring industry system application software design and development to combine intelligent monitoring of surveillance video with The preset point (the preset point is a monitoring scene of one channel of video in the front-end detector, it is necessary to determine the azimuth angle, pitch angle, focal length value and focus value of the front-end detector when monitoring the scene) is associated and applied in the field of intelligent video surveillance , which solves the limitatio...

AI Technical Summary

Problems solved by technology

[0010] In the current field of border monitoring, in order to combat smuggling, border crossing, border troubles, etc., it mainly relies on the on-duty personnel to monitor the sensitive points (ie: preset points) in each monitoring area to find problems, but the energy of the personnel cannot be monitored 24 hours a day , which will lead to situations that cannot b

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