Content-oriented Multicamera Trajectory Forecasting Surveillance Network System

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks
出版社IEEE Computer Society
ページ17-22
ページ数6
ISBN(電子版)9781728164762
DOI
出版ステータスPublished - 2021 8 17
イベント12th International Conference on Ubiquitous and Future Networks, ICUFN 2021 - Virtual, Jeju Island, Korea, Republic of
継続期間: 2021 8 172021 8 20

出版物シリーズ

名前International Conference on Ubiquitous and Future Networks, ICUFN
2021-August
ISSN(印刷版)2165-8528
ISSN(電子版)2165-8536

Conference

Conference12th International Conference on Ubiquitous and Future Networks, ICUFN 2021
国/地域Korea, Republic of
CityVirtual, Jeju Island
Period21/8/1721/8/20

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • ハードウェアとアーキテクチャ

フィンガープリント

「Content-oriented Multicamera Trajectory Forecasting Surveillance Network System」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル