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How to search for persons related to suspects

A search method and technology for suspects, applied in the field of computer data processing, can solve the problems of criminal gang members escaping, difficulty, and reduced success rate

Active Publication Date: 2021-08-10
ROPEOK TECHNOLOGY GROUP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example: when it is necessary to track and determine a criminal suspect through the urban video surveillance network, it is often necessary to find the suspect’s related personnel. Although a large amount of video data captured by surveillance cameras currently requires a certain period of time from each camera. It is very difficult to screen and compare the relatives of the suspect in the data frame by frame
It takes a long time for the picture reviewer to go to each relevant camera information storage platform for frame-by-frame screening and comparison. The personnel are prone to fatigue and the details are not easy to find, so the success rate is greatly reduced.
Often in order to catch criminal gang members in one go, it is necessary to follow and watch for a long time to determine the relatives of the gang members. Due to the long time, it is easy to cause the escape of criminal gang members

Method used

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  • How to search for persons related to suspects
  • How to search for persons related to suspects
  • How to search for persons related to suspects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Embodiment 1: The method of determining daily related persons.

[0040]Step 1: In the daily work of each camera in the monitoring system, set it to the regular sampling mode, and the sampling time interval is 1 second to 5 seconds. When there are passers-by A in a picture of a certain camera M1, respectively take the numbers N1, N2, N3, N4, ..., A, and select the camera M1 to continue in the time period of T seconds - T + 60 seconds If it can be identified that there are N1, N3, N6, ..., A in all the pictures within 60 seconds, a total of B passers-by appear in the picture at the same time, then it is considered that B passers-by travel together once ; When selecting the sampling pictures of the camera M1 in the time period of T+45 seconds-T+105 seconds, if it can be determined that there are numbers N1, N2, N4, N6, ..., number A, a total of C passers-by, it is considered that C passers-by travels together once; by associating passers-by B from the first screening with...

Embodiment 2

[0047] Screening of related persons of suspect XY: When a case occurs temporarily, the cameras in the surrounding area of ​​the case are quickly called to capture images to determine suspect XY. One of the lookup methods is the census method:

[0048] Step 5: Start the process of finding related persons. Use the pictures of the suspect XY and the pictures captured by the cameras in the area within 24 hours, and send the data together to the "face recognition engine" to screen out the different times when the suspect XY appeared in each camera position, and determine that the suspect XY passed the camera The time and place of the suspect XY’s crime, and confirm the path and daily action route of the suspect XY; determine the camera position that needs to be screened according to the suspect’s XY action route; The suspect XY finds the camera position of the related person;

[0049] Step 6: Establish rules for finding camera positions of related persons. Screen out the action ...

Embodiment 3

[0061] Screening of related persons of suspect XY: When a case occurs temporarily, the cameras in the surrounding area of ​​the case are quickly called to capture images to determine suspect XY. The second search method is the screening method:

[0062] Step 5: Start the process of finding related persons. Use the XY picture of the suspect to call the relational person database, and find the key related parties, related parties and possible related parties of the suspect XY based on the XY picture of the suspect;

[0063] Retrieve the pictures captured by the cameras in the area within 24 hours, and send the pictures of related parties to the "face comparison and recognition engine" to screen out the camera positions of the suspect XY and the related party, determine the different times of appearance, and confirm The path, daily action route and division of labor between the suspect XY and the related party when committing a crime; determine the camera positions that need to ...

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Abstract

The search method for persons related to the suspect (XY) is to use computers and data networks to quickly search and screen out the gang members of the suspect (XY) from the images. Establish a relational person database through the way of daily relational person identification; when a case suspect (XY) appears, find out the key relational persons, relational persons and possible relational persons of the suspect (XY) through the relational person database; , related persons and possible related persons are associated with the suspect (XY)'s action route on the day to find out the case gang. The gang members can be identified as soon as possible, the analysis time is shortened, and the possibility of criminal gang members escaping is reduced.

Description

technical field [0001] The invention relates to a computer data processing technology, in particular to realize a search method for suspects and persons related to them through computer comparison and calculation of videos and pictures. Background technique [0002] With the maturity of the existing video surveillance network system and the deepening of informatization construction, public security departments have an increasing demand for intelligent video tracking of emergencies. For example: when it is necessary to track and determine a criminal suspect through the urban video surveillance network, it is often necessary to find the suspect’s related personnel. Although a large amount of video data captured by surveillance cameras currently requires a certain period of time from each camera. It is very difficult to screen and compare the relatives of the suspect frame by frame from the data. It takes a long time for the picture reviewer to go to each relevant camera infor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/783G06K9/00H04N7/18
CPCH04N7/181G06V40/172G06F16/784
Inventor 范志建杨友城李昌华陈生坚李仁杰江文涛陈延艺陈延行
Owner ROPEOK TECHNOLOGY GROUP CO LTD
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