A target object association analysis method and device

Abstract

The invention provides a target object correlation analysis method and device. The method includes: obtaining a target object to be analyzed; searching a multi-dimensional perception data set to obtain a target trajectory of the target object; wherein, the target trajectory is composed of various target trajectory points. forming; the multi-dimensional sensing data set is used to store the trajectory; obtaining associated information; based on the associated information and each target trajectory point, search the multi-dimensional sensing data set, and determine the associated trajectory points near each target trajectory point; for each target trajectory point target track point, determine a target associated track point from the associated track points near the target track point; determine each associated object to which each target associated track point belongs; calculate the associated level of each associated object; according to the associated level of each associated object, A target associated object is determined, and an association analysis of the target object is completed. By applying the embodiments of the present invention, the efficiency and accuracy of the association analysis are improved.

Description

technical field [0001] The invention relates to the field of intelligent security, in particular to a target object correlation analysis method and device. Background technique [0002] In order to strengthen the security protection of the city, it is usually necessary to analyze some target objects to determine the associated objects associated with the target objects, and the target objects and the associated objects of the target objects are usually clustered 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 face in the video. Due to the large amount of video data, the analysis time is long and the efficiency is low. [0004] ...

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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