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A Suspicious Vehicle Discovery Method Based on Spatiotemporal Range Constraints

A discovery method and spatiotemporal technology, applied in the field of suspicious vehicle discovery based on spatiotemporal range constraints, can solve problems such as unclear location information, inability to efficiently discover no typical external features, etc., to achieve the effect of improving efficiency

Active Publication Date: 2021-04-30
江苏天泽智联信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to provide a method for discovering suspicious vehicles based on space-time constraints in view of the above-mentioned deficiencies, which can find suspicious vehicles without clear external features when the time and place are uncertain, and solve the problem of image recognition-based methods and methods. None of the methods based on relational databases can efficiently discover the query problem of suspicious vehicles with no typical external characteristics and unclear location information

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  • A Suspicious Vehicle Discovery Method Based on Spatiotemporal Range Constraints
  • A Suspicious Vehicle Discovery Method Based on Spatiotemporal Range Constraints
  • A Suspicious Vehicle Discovery Method Based on Spatiotemporal Range Constraints

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Embodiment Construction

[0029] The solution of the present invention will be described below through specific implementation examples and in conjunction with the accompanying drawings.

[0030] Assuming that each vehicle obj during exercise t time passing location p When the system generates a record ( obj,t, p ), the format of each spatiotemporal constraint is C =( T 1 , T 2 , pos 1 , pos 2 ),in T 1 with T 2 represents time, and T 1 ≤ T 2 , pos 1 =( x 1 , y 1 )with pos 2 =( x 2 , y 2 ),x 1 with x 2 Indicates the position pos 1 with pos 2 longitude, y 1 with y 2 Indicates the position pos 1 with pos 2 latitude to position pos 1 with pos 2 The rectangular area formed by the diagonal vertices is denoted as Area ( C ). If the object obj exist t time zone Area ( C ), ie , then the object obj Satisfy the conditional space-time constraints C , denoted as .

[0031] For a certain suspect, it is usually possible to infer the appr...

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Abstract

The invention discloses a suspicious vehicle discovery algorithm based on space-time constraints, which relates to application fields such as intelligent transportation, space-time database and artificial intelligence, in particular a suspicious vehicle discovery method that does not rely on visual features. Including the following steps: 1) Submit k a space-time constraint; k is a natural number, k The range of values ​​is 1≤ k ≤10; k A space-time constraint is k a relatively clear space and time range; 2) in the trajectory database to find the matching k Vehicles with space-time constraints, and get the final query results. Using the spatio-temporal characteristics of suspicious vehicle movement, express the time range and space range of suspicious vehicle motion as spatio-temporal constraints, query suspicious vehicles based on spatio-temporal constraints, and support multiple spatio-temporal constraints and distributed processing to improve the detection of suspicious vehicles efficiency.

Description

technical field [0001] The invention discloses a method for discovering suspicious vehicles based on space-time constraints, which relates to application fields such as intelligent transportation, space-time databases and artificial intelligence, in particular a method for discovering suspicious vehicles that does not rely on visual features. Background technique [0002] Suspicious vehicle identification is an important issue in intelligent transportation, which aims to help public security organs track illegal and illegal vehicles. Suspicious vehicles in real life usually include two types: one is vehicles with typical external characteristics, such as witnesses or a monitoring system somewhere that has recorded the typical external characteristics of suspicious vehicles, such as license plate number, brand model and color, etc.; is a vehicle whose exterior characteristics are unknown. The current suspicious vehicle detection algorithm mainly uses the suspicious vehicle w...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06F16/2458G06F16/2455
Inventor 孙杰李鹏飞黄绍平陈智也
Owner 江苏天泽智联信息技术有限公司
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