Target object association analysis method and device

Abstract

The invention provides a target object correlation analysis method and device. The method comprises the steps of acquiring a target object to be analyzed; Searching a multi-dimensional perception dataset to obtain a target track of the target object; Wherein the target track is formed by each target track point; Wherein the multi-dimensional perception data set is used for storing tracks; Obtaining associated information; Based on the correlation information and each target track point, searching the multi-dimensional perception data set, and determining correlation track points near each target track point; For each target track point, determining a target associated track point from the associated track points near the target track point; Determining each associated object to which eachtarget associated track point belongs; Calculating the association level of each associated object; And determining a target association object according to the association level of each associationobject, and completing association analysis on the target object. By applying the embodiment of the invention, the efficiency and accuracy of correlation analysis are improved.

Description

technical field [0001] The invention relates to the field of intelligent security, in particular to a target object association analysis method and device. Background technique [0002] In order to strengthen the security protection of the city, it is usually necessary to analyze certain target objects to determine the associated objects associated with the target object, and the target object and the associated objects of the target object usually gather together frequently. [0003] At present, the existing target object correlation analysis methods mainly use manual analysis methods or video analysis methods. The former mainly relies on the analysis ability of the staff. Due to the need for a large number of investigations and statistics, it takes a lot of time and energy. , so the efficiency is low; the latter needs to analyze and recognize the faces in the video. Due to the large amount of video data, the analysis time is long and the efficiency is low. [0004] Theref...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing target object association analysis methods mainly use manual analysis methods or video analysis methods. The former mainly relies on the analysis ability of the staff, and it takes a lot of time and energy due to the need for a large number of investigations and statistics. , so the efficiency is low; the latter needs to analyze and recognize the faces in the video. Due to the large amount of video data, the analysis time is longer and the efficiency is lower.

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