Content-oriented Multicamera Trajectory Forecasting Surveillance Network System

Xin Qi; Toshio Sato; Keping Yu; San Hlaing Myint; Yutaka Katsuyama; Kazuhiko Tamesue; Kiyohito Tokuda; Zheng Wen; Takuro Sato

doi:10.1109/ICUFN49451.2021.9528586

Content-oriented Multicamera Trajectory Forecasting Surveillance Network System

Xin Qi, Toshio Sato, Keping Yu, San Hlaing Myint, Yutaka Katsuyama, Kazuhiko Tamesue, Kiyohito Tokuda, Zheng Wen, Takuro Sato

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

To reduce safety violations in wide-area ranges, there is a need for highly functional multicamera surveillance systems. We introduce a multicamera trajectory forecasting surveillance network system based on a content-oriented suspicious object network system. This system uses multiple cameras in detection and recognition to track persons among different areas and is capable of retracking people. Each camera node has a processing unit and uses information-centric networking technology to build a content-oriented IoT network. We use field-recorded data to support the simulation, and the evaluation result indicates that our trajectory forecasting method is more efficient than conventional surveillance systems.

Original language	English
Title of host publication	ICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	17-22
Number of pages	6
ISBN (Electronic)	9781728164762
DOIs	https://doi.org/10.1109/ICUFN49451.2021.9528586
Publication status	Published - 2021 Aug 17
Event	12th International Conference on Ubiquitous and Future Networks, ICUFN 2021 - Virtual, Jeju Island, Korea, Republic of Duration: 2021 Aug 17 → 2021 Aug 20

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2021-August
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	12th International Conference on Ubiquitous and Future Networks, ICUFN 2021
Country/Territory	Korea, Republic of
City	Virtual, Jeju Island
Period	21/8/17 → 21/8/20

Keywords

ICN
IoT
content-oriented
surveillance network
trajectory forecasting

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/ICUFN49451.2021.9528586

Cite this

Qi, X., Sato, T., Yu, K., Myint, S. H., Katsuyama, Y., Tamesue, K., Tokuda, K., Wen, Z., & Sato, T. (2021). Content-oriented Multicamera Trajectory Forecasting Surveillance Network System. In ICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks (pp. 17-22). (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2021-August). IEEE Computer Society. https://doi.org/10.1109/ICUFN49451.2021.9528586

Content-oriented Multicamera Trajectory Forecasting Surveillance Network System. / Qi, Xin; Sato, Toshio; Yu, Keping et al.
ICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2021. p. 17-22 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2021-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qi, X, Sato, T, Yu, K, Myint, SH, Katsuyama, Y, Tamesue, K, Tokuda, K, Wen, Z & Sato, T 2021, Content-oriented Multicamera Trajectory Forecasting Surveillance Network System. in ICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks. International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2021-August, IEEE Computer Society, pp. 17-22, 12th International Conference on Ubiquitous and Future Networks, ICUFN 2021, Virtual, Jeju Island, Korea, Republic of, 21/8/17. https://doi.org/10.1109/ICUFN49451.2021.9528586

Qi X, Sato T, Yu K, Myint SH, Katsuyama Y, Tamesue K et al. Content-oriented Multicamera Trajectory Forecasting Surveillance Network System. In ICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks. IEEE Computer Society. 2021. p. 17-22. (International Conference on Ubiquitous and Future Networks, ICUFN). doi: 10.1109/ICUFN49451.2021.9528586

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abstract = "To reduce safety violations in wide-area ranges, there is a need for highly functional multicamera surveillance systems. We introduce a multicamera trajectory forecasting surveillance network system based on a content-oriented suspicious object network system. This system uses multiple cameras in detection and recognition to track persons among different areas and is capable of retracking people. Each camera node has a processing unit and uses information-centric networking technology to build a content-oriented IoT network. We use field-recorded data to support the simulation, and the evaluation result indicates that our trajectory forecasting method is more efficient than conventional surveillance systems. ",

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note = "Funding Information: ACKNOWLEDGMENT This research has been supported by a research grant for expanding radio wave resources (JP000J 54) from the Ministry of Internal Affairs and Communications under contract for “Research and development of radar fundamental technology for advanced recognition of moving objects for security enhancement” . Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th International Conference on Ubiquitous and Future Networks, ICUFN 2021 ; Conference date: 17-08-2021 Through 20-08-2021",

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AU - Tamesue, Kazuhiko

AU - Tokuda, Kiyohito

AU - Wen, Zheng

AU - Sato, Takuro

N1 - Funding Information: ACKNOWLEDGMENT This research has been supported by a research grant for expanding radio wave resources (JP000J 54) from the Ministry of Internal Affairs and Communications under contract for “Research and development of radar fundamental technology for advanced recognition of moving objects for security enhancement” . Publisher Copyright: © 2021 IEEE.

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N2 - To reduce safety violations in wide-area ranges, there is a need for highly functional multicamera surveillance systems. We introduce a multicamera trajectory forecasting surveillance network system based on a content-oriented suspicious object network system. This system uses multiple cameras in detection and recognition to track persons among different areas and is capable of retracking people. Each camera node has a processing unit and uses information-centric networking technology to build a content-oriented IoT network. We use field-recorded data to support the simulation, and the evaluation result indicates that our trajectory forecasting method is more efficient than conventional surveillance systems.

AB - To reduce safety violations in wide-area ranges, there is a need for highly functional multicamera surveillance systems. We introduce a multicamera trajectory forecasting surveillance network system based on a content-oriented suspicious object network system. This system uses multiple cameras in detection and recognition to track persons among different areas and is capable of retracking people. Each camera node has a processing unit and uses information-centric networking technology to build a content-oriented IoT network. We use field-recorded data to support the simulation, and the evaluation result indicates that our trajectory forecasting method is more efficient than conventional surveillance systems.

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Content-oriented Multicamera Trajectory Forecasting Surveillance Network System

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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