Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring
Ankle bracelets (anklets) imposed by law to track convicted individuals are being used in many countries as an alternative to overloaded prisons. There are many different systems for monitoring individuals wearing such devices, and these electronic anklet monitoring systems commonly detect violation...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-01-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | http://www.mdpi.com/2220-9964/6/1/31 |
| _version_ | 1817995897667059712 |
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| author | Paulo Lima Machado Rafael T. de Sousa Robson de Oliveira Albuquerque Luis Javier García Villalba Tai-Hoon Kim |
| author_facet | Paulo Lima Machado Rafael T. de Sousa Robson de Oliveira Albuquerque Luis Javier García Villalba Tai-Hoon Kim |
| author_sort | Paulo Lima Machado |
| collection | DOAJ |
| description | Ankle bracelets (anklets) imposed by law to track convicted individuals are being used in many countries as an alternative to overloaded prisons. There are many different systems for monitoring individuals wearing such devices, and these electronic anklet monitoring systems commonly detect violations of circulation areas permitted to holders. In spite of being able to monitor individual localization, such systems do not identify grouping activities of the monitored individuals, although this kind of event could represent a real risk of further offenses planned by those individuals. In order to address such a problem and to help monitoring systems to be able to have a proactive approach, this paper proposes sensor data fusion algorithms that are able to identify such groups based on data provided by anklet positioning devices. The results from the proposed algorithms can be applied to support risk assessment in the context of monitoring systems. The processing is performed using geographic points collected by a monitoring center, and as result, it produces a history of groups with their members, timestamps, locations and frequency of meetings. The proposed algorithms are validated in various serial and parallel computing scenarios, and the correspondent results are presented and discussed. The information produced by the proposed algorithms yields to a better characterization of the monitored individuals and can be adapted to support decision-making systems used by authorities that are responsible for planning decisions regarding actions affecting public security. |
| first_indexed | 2024-04-14T02:14:27Z |
| format | Article |
| id | doaj.art-53a81314d033464da1d59b26bfda0800 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-04-14T02:14:27Z |
| publishDate | 2017-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-53a81314d033464da1d59b26bfda08002022-12-22T02:18:18ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-01-01613110.3390/ijgi6010031ijgi6010031Detection of Electronic Anklet Wearers’ Groupings throughout Telematics MonitoringPaulo Lima Machado0Rafael T. de Sousa1Robson de Oliveira Albuquerque2Luis Javier García Villalba3Tai-Hoon Kim4Electrical Engineering Department, Technology College, Universidade de Brasília, Brasilia DF 70910-900, BrazilElectrical Engineering Department, Technology College, Universidade de Brasília, Brasilia DF 70910-900, BrazilElectrical Engineering Department, Technology College, Universidade de Brasília, Brasilia DF 70910-900, BrazilGroup of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases, 9, Ciudad Universitaria, Madrid 28040, SpainDepartment of Convergence Security, Sungshin Women’s University, 249-1 Dongseon-dong 3-ga, Seoul 136-742, KoreaAnkle bracelets (anklets) imposed by law to track convicted individuals are being used in many countries as an alternative to overloaded prisons. There are many different systems for monitoring individuals wearing such devices, and these electronic anklet monitoring systems commonly detect violations of circulation areas permitted to holders. In spite of being able to monitor individual localization, such systems do not identify grouping activities of the monitored individuals, although this kind of event could represent a real risk of further offenses planned by those individuals. In order to address such a problem and to help monitoring systems to be able to have a proactive approach, this paper proposes sensor data fusion algorithms that are able to identify such groups based on data provided by anklet positioning devices. The results from the proposed algorithms can be applied to support risk assessment in the context of monitoring systems. The processing is performed using geographic points collected by a monitoring center, and as result, it produces a history of groups with their members, timestamps, locations and frequency of meetings. The proposed algorithms are validated in various serial and parallel computing scenarios, and the correspondent results are presented and discussed. The information produced by the proposed algorithms yields to a better characterization of the monitored individuals and can be adapted to support decision-making systems used by authorities that are responsible for planning decisions regarding actions affecting public security.http://www.mdpi.com/2220-9964/6/1/31anklet monitoring and trackingdetection algorithmsgeoprocessingLaw Enforcement Telecommunications Systems (LETS)sensor data fusion |
| spellingShingle | Paulo Lima Machado Rafael T. de Sousa Robson de Oliveira Albuquerque Luis Javier García Villalba Tai-Hoon Kim Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring ISPRS International Journal of Geo-Information anklet monitoring and tracking detection algorithms geoprocessing Law Enforcement Telecommunications Systems (LETS) sensor data fusion |
| title | Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring |
| title_full | Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring |
| title_fullStr | Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring |
| title_full_unstemmed | Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring |
| title_short | Detection of Electronic Anklet Wearers’ Groupings throughout Telematics Monitoring |
| title_sort | detection of electronic anklet wearers groupings throughout telematics monitoring |
| topic | anklet monitoring and tracking detection algorithms geoprocessing Law Enforcement Telecommunications Systems (LETS) sensor data fusion |
| url | http://www.mdpi.com/2220-9964/6/1/31 |
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