Group Tracking for Video Monitoring Systems: A Spatio-Temporal Query Processing Approach-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:11 Page:19969-19987
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yoon Hyunsik¹^ORCID,Choi Dalsu¹^ORCID,Chung Yon Dohn¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Korean Government [Ministry of Science and ICT (MIST)]

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

MSIT under the Information and Communications Technology (ICT) Creative Consilience Program Supervised by the Institute for Information & Communications Technology Planning & Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10054033.pdf?arnumber=10054033

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2. Socially Constrained Structural Learning for Groups Detection in Crowd

3. On Discovery of Traveling Companions from Streaming Trajectories

4. Discovery of convoys in trajectory databases;jeung;arXiv 1002 0963,2010

5. Looking ahead: Joint small group detection and tracking in crowd scenes

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