User identity recognition method based on moving trajectory similarity comparison

A technology for user identification and movement trajectory, applied in the field of data analysis, it can solve problems such as huge amount of calculation, and achieve the effect of reducing calculation consumption and ensuring recognition accuracy.

Active Publication Date: 2018-09-14
WUHAN UNIV
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Problems solved by technology

This method has high recognition accuracy, but the calculation is huge

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  • User identity recognition method based on moving trajectory similarity comparison
  • User identity recognition method based on moving trajectory similarity comparison
  • User identity recognition method based on moving trajectory similarity comparison

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Embodiment Construction

[0019] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0020] See figure 1 , a kind of identification method based on the similarity comparison of moving track provided by the present invention, comprises the following steps:

[0021] Step 1: Treat the city as a rectangular area surrounded by the highest longitude and latitude and the lowest longitude and latitude, and divide the urban area with predetermined longitude and latitude steps to obtain an M×K longitude and latitude network;

[0022] Step 2: Count the frequency of user trajectory points distributed in each small grid area, which is recorded as point f...

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Abstract

The invention discloses a user identity recognition method based on moving trajectory similarity comparison. Firstly, a city is divided into a longitude and latitude network, the frequency of trajectories appearing in each grid is counted, and grids with the number of points exceeding a threshold value Vp is mapped to a set; the similarity of two paired trajectories is calculated; finally a candidate threshold value Vr is set, namely Top-N sequences with the number of appearing areas exceeding Vr form a candidate set, and a trajectory Top-N sequence which is most similar to the trajectory of ato-be-identified object is matched in a pre-stored trajectory Top-N sequence set. Compared with a traditional method of directly calculating frequency distribution vectors, the areas which frequentlyappear have stronger regularity, so that the calculated amount is significantly reduced without sacrificing the accuracy of recognition.

Description

technical field [0001] The invention belongs to the technical field of data analysis, and relates to a user identity identification method, in particular to an identity identification method based on the measurement of the similarity of moving trajectories. technical background [0002] Location services including GPS and cellular communication network base station positioning have become a part of people's daily life. Based on multi-source mobile trajectory data sets such as mobile phones, the Internet, and car navigation, the trajectory similarity is used to match the identity of various trajectory information of suspects, and the personal multi-source trajectory information is used to grasp the whereabouts and activity rules of dangerous elements, understand the identity and thus Curbing crimes is a new opportunity for the social security prevention and control technology system. [0003] The number of mobile phone users in China is close to 1.3 billion. The positioning ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62G06Q50/26H04W4/029
CPCH04W4/029G06Q50/26G06F18/22
Inventor 王中元祁梦军何政
Owner WUHAN UNIV
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