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A Criminal Gang Discrimination Method Considering Trajectory Spatial-Temporal Semantics

A technology of spatiotemporal semantics and discriminant methods, applied in the fields of public security, police intelligence data mining, criminal geography, criminal investigation and police research and judgment, it can solve the misjudgment and omission of criminal gang membership, without considering the possibility of criminal gangs, Inability to judge members of several criminal gangs, etc., to achieve the effect of improving coverage and accuracy

Inactive Publication Date: 2018-10-16
GUANGXI TEACHERS EDUCATION UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0012] The purpose of the invention of the present invention is to solve the problems existing in the prior art (1) that the indicators of criminal gang relationship between the identification personnel are not complete, (2) the possibility that the unrecorded person belongs to a criminal gang is not considered, and (3) it is easy to cause a criminal gang Misjudgment and missed judgment of membership, (4) The problem of being unable to judge members belonging to several criminal gangs, providing a method for judging criminal gangs that takes into account the temporal and spatial semantics of trajectories

Method used

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  • A Criminal Gang Discrimination Method Considering Trajectory Spatial-Temporal Semantics
  • A Criminal Gang Discrimination Method Considering Trajectory Spatial-Temporal Semantics
  • A Criminal Gang Discrimination Method Considering Trajectory Spatial-Temporal Semantics

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Embodiment 1

[0080] Step 1: Clustering of key personnel trajectory points

[0081] Based on the trajectory data of key personnel, the anchor point clustering with spatial semantics is carried out, the space is divided into multiple clusters, and the clusters are used to represent the anchor points of key personnel. By comparing the stay of the two key personnel in different clusters in different semantic time, the similarity reflected in the temporal and spatial semantics of the key personnel is calculated.

[0082] Anchor density clustering is performed based on regional environment and spatial distance, and socioeconomic environment, crime level, and geospatial factors are considered in the clustering proximity. The track points are referred to below as anchorages.

[0083] set anchor l i , l j ∈S, S is the set of anchor points, based on the cosine formula, representing the anchor point l i and l j The spatial semantic difference of :

[0084] ρ ij =cosin(θ i ,θ j )

[0085] Am...

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Abstract

The invention belongs to the fields of criminal investigation and police research and judgment, police data mining, public security and criminal geography methods, and in particular relates to a method for identifying criminal gangs in consideration of the temporal and spatial semantics of trajectories. It mainly includes the following steps: (1) Clustering of trajectory points of key personnel; (2) Calculation of spatio-temporal similarity of trajectory of key personnel; (3) Calculation of spatio-temporal frequency of communication of key personnel; (4) Modeling of associated network of key personnel; (5) Criminal gang identification based on social network community discovery method. The beneficial effects of the present invention are that the judging index system of criminal gang relationship is perfected, it is not easy to cause misjudgment and missed judgment of criminal gang relationship, and members belonging to multiple criminal gangs can be judged at the same time, and can be used to identify non-criminal gang members, Improve the accuracy of identification of criminal gangs.

Description

technical field [0001] The invention belongs to the technical fields of criminal investigation and police research and judgment, police data mining, public security, and criminal geography, and in particular relates to a method for identifying criminal gangs that takes into account the temporal and spatial semantics of trajectories. Background technique [0002] At present, the tendency of organized crimes in cities is prominent. Judging from the "two robbery and one robbery" cases cracked in various places, most of the major, important and serial cases are committed by criminal gangs. The longer a criminal organization exists, the tighter its structure, the more members it has, the more criminal acts it commits, the more harmful it is, and the more difficult it is to crack down on. Therefore, early, rapid and accurate identification of members of criminal gangs and potential criminal gangs are of great value in improving the effectiveness of criminal gang strikes. However,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/213G06F18/23
Inventor 段炼黄宁宁
Owner GUANGXI TEACHERS EDUCATION UNIV
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