A warning method for deviation from typical activity patterns of targets

Abstract

The invention discloses a target typical activity mode deviation warning method. The method comprises the steps of collecting target historical track data; extracting a target historical activity hotspot region; extracting a target historical track space grid sequence set; extracting a target typical track set; judging whether the current trajectory of the target is completely located in a targethistorical activity hotspot region or not, and if not, carrying out typical activity mode deviation warning of a grade 2; carrying out space mesh generation on the target current trajectory to obtaina space mesh sequence set, and calculating the similarity between the target current trajectory mesh sequence and all typical trajectory mesh sequences in the target typical trajectory mesh sequence set; judging whether all the similarities are smaller than a preset threshold value or not, and if not, not giving an alarm. According to the invention, alarm notification can be carried out on the condition that the target activity deviates from the typical activity track and the hotspot activity area, and the alarm precision is higher.

Description

technical field [0001] The invention belongs to the field of computers, and in particular relates to a method for warning the departure of a target typical activity pattern. Background technique [0002] With the rapid development of mobile target positioning technology (such as GPS, radio positioning, etc.), the amount of target mobile data that can be obtained (such as biological footprints, vehicle trajectories, aircraft, ship tracks, etc.) rich knowledge and information. In the process of analyzing and mining the target trajectory data, people found that the activities of the target often have regularity, which is manifested in: first, the target has a relatively fixed range of frequent activities, that is, the active hotspot area; second, the target has a relatively fixed one or more A sequence of typical activity trajectories, such as the fixed routes of airplanes and ships. This regularity is called a typical activity pattern. In the process of monitoring the real-...

AI Technical Summary

Problems solved by technology

The typical trajectory sequence of the target in the prior art is usually known in advance, but the typical trajectory in the actual situation is often unknown and needs to be summarized and extracted from the historical activity data, and the target activity is easily affected by various real-time factors, so based on the preset typical trajectory Off-target activity alerts for sequences are inaccurate

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