research-article

Retrieving large-scale high density video target tracks from spatial database

Authors:

Hongli Deng,

Kiran Gunda,

Zeeshan Rasheed,

Niels HaeringAuthors Info & Claims

COM.Geo '12: Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications

Article No.: 19, Pages 1 - 8

https://doi.org/10.1145/2345316.2345339

Published: 01 July 2012 Publication History

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Abstract

With more and more live sensors being added to geospatial applications, huge amount of sensor data are generated and saved in spatial database. Managing and mining these large-scale ever-changing data becomes new challenges for geospatial studies. In this paper, we present an application-oriented case study to show how to retrieve target tracking data from big dataset saved in spatial database. Our video event retrieval system collects thirty days (8790 GB) high definition video data from six surveillance cameras, analyze them and extract roughly ten million video target tracks. These tracks are projected onto world coordinates and pumped into a spatial database. The system performance of inserting and retrieving these tracks is analyzed in terms of spatial data type design, spatial index configuration, online operation capacity, query optimization and scalability handling. Our insights of saving, managing and retrieving target tracks in a large-scale are presented.

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Cited By

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Xie YWang MLiu XWang ZMao BWang FWang X(2020)Spatiotemporal retrieval of dynamic video object trajectories in geographical scenesTransactions in GIS10.1111/tgis.1269625:1(450-467)Online publication date: 20-Oct-2020
https://doi.org/10.1111/tgis.12696
Xie YWang MLiu XMao BWang F(2019)Integration of Multi-Camera Video Moving Objects and GISISPRS International Journal of Geo-Information10.3390/ijgi81205618:12(561)Online publication date: 7-Dec-2019
https://doi.org/10.3390/ijgi8120561
Han ZCui CKong YQin FFu P(2015)Video Data Model and Retrieval Service Framework Using Geographic InformationTransactions in GIS10.1111/tgis.1217520:5(701-717)Online publication date: 28-Dec-2015
https://doi.org/10.1111/tgis.12175

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Retrieving large-scale high density video target tracks from spatial database

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Published In

COM.Geo '12: Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications

July 2012

212 pages

ISBN:9781450311137

DOI:10.1145/2345316

General Chair:
Lindi Liao

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2012

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COM.Geo '12

COM.Geo '12: 3rd International Conference on Computing for Geospatial Research and Application

July 1 - 3, 2012

D.C., Washington, USA

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Cited By

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Xie YWang MLiu XWang ZMao BWang FWang X(2020)Spatiotemporal retrieval of dynamic video object trajectories in geographical scenesTransactions in GIS10.1111/tgis.1269625:1(450-467)Online publication date: 20-Oct-2020
https://doi.org/10.1111/tgis.12696
Xie YWang MLiu XMao BWang F(2019)Integration of Multi-Camera Video Moving Objects and GISISPRS International Journal of Geo-Information10.3390/ijgi81205618:12(561)Online publication date: 7-Dec-2019
https://doi.org/10.3390/ijgi8120561
Han ZCui CKong YQin FFu P(2015)Video Data Model and Retrieval Service Framework Using Geographic InformationTransactions in GIS10.1111/tgis.1217520:5(701-717)Online publication date: 28-Dec-2015
https://doi.org/10.1111/tgis.12175

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Fast forensic video event retrieval using geospatial computing

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Modelling spatial video as part of a GIS video analysis framework