Group Tracking for Video Monitoring Systems: A Spatio-Temporal Query Processing Approach

Hyunsik Yoon, Dalsu Choi, Yon Dohn Chung

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Recently, many video monitoring systems utilize deep learning technologies to recognize locations and trajectories of people in video data. In video monitoring systems, a fast discovery of human groups is an important task for several applications, for example, crime surveillance, contact tracing, and customer behavior analysis. To tackle the demand, we propose a group tracking method. First, we propose a spatial proximity definition and define a novel query type, a group tracking query that considers characteristics of video data. A group tracking query retrieves the groups that travel for more than a certain amount of video frame within a certain distance. We propose an efficient query processing method that exploits the spatio-temporal characteristics of groups. Through extensive experiments using real-world datasets, we verify the efficiency and effectiveness of our query definition and query processing method.

Original languageEnglish
Pages (from-to)19969-19987
Number of pages19
JournalIEEE Access
Volume11
DOIs
Publication statusPublished - 2023

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) funded by the Korean Government [Ministry of Science and ICT (MIST)] under Grant NRF-2020R1A2C2013286, in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant NRF-2021R1A6A1A13044830, and in part by the MSIT under the Information and Communications Technology (ICT) Creative Consilience Program Supervised by the Institute for Information & Communications Technology Planning & Evaluation (IITP) under Grant IITP-2023-2020-0-01819.

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Spatio-temporal query processing
  • spatial data management
  • spatial databases
  • video monitoring systems
  • video query processing

ASJC Scopus subject areas

  • General Engineering
  • General Materials Science
  • General Computer Science

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