Behavior tracking system

Abstract

A behavior tracking system include a video monitoring module, Regional headcount module, motion trajectory perimeter prevention and control module, Automatic Tracking Module of Motion Trajectory, A fast motion trajectory retrieval module, a motion trajectory automatic prediction module and a motion disturbance elimination recognition module track and monitor the real-time trajectory of each objectin the delimited range, and a human body recognition framework based on depth self-learning AI and an action roadmap can be drawn, and a roadmap image video of the trajectory in a specific period ofits history can also be accessed. It provides an accurate basis for recording, inquiring and predicting the motion of objects in video images.

Description

technical field [0001] The invention relates to the technical field of monitoring and analysis, in particular to a behavior tracking system. Background technique [0002] Visual surveillance technology has become more and more important in recent years, and more and more surveillance cameras are placed in various places. However, traditional surveillance is often carried out manually, or is only stored in a storage device as a tool for subsequent retrieval. The visual monitoring system can detect the occurrence of abnormal events by analyzing the behavior of moving objects in the monitoring screen, which can be trajectory, posture or other characteristics, and effectively notify security personnel to deal with them. [0003] However, the visual monitoring system cannot automatically eliminate the interference of non-human factors, cannot count the number of people in the monitoring area, cannot analyze the movement trajectory of the target human body, cannot provide real-tim...

AI Technical Summary

Problems solved by technology

[0003] However, the visual monitoring system cannot automatically eliminate the interference of non-human factors, cannot count the number of people in the monitoring area, cannot analyze the movement trajectory of the target human body, cannot provide real-time early warning of personnel intrusion events in the perimeter area, and cannot combine its movement Trajectory analysis of human body or object movement trends and dynamics, and accurate prediction of movement trajectories, which is prone to false alarms due to interference from non-human factors

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