| 大会名称 |
| 2021年 総合大会 |
| 大会コ－ド |
| 2021G |
| 開催年 |
|
2021
|
| 発行日 |
|
2021-02-23
|
| セッション番号 |
|
BS-7
|
| セッション名 |
|
AI technologies and their applications for future network systems and services
|
| 講演日 |
|
2021/3/9
|
| 講演場所(会議室等) |
|
Meeting 30
|
| 講演番号 |
|
BS-7-10
|
| タイトル |
|
Content-Oriented Multi-Camera Trajectory Forecasting Surveillance Network System
|
| 著者名 |
|
○Xin Qi, Toshio Sato, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Kiyohito Tokuda, Takuro Sato,
|
| キーワード |
|
Content-Oriented, Multi-camera, Trajectory forecasting
|
| 抄録 |
|
We introduce a content-oriented multi-camera surveillance network system with the help of trajectory forecasting. There are several parts described in the paper. We use Information-centric Networking (ICN) to realize the basic network structure, because of the efficiency of the content delivery mechanisms. We also implemented multi-camera scenario in the surveillance network to cover multiple areas and track individuals across different areas. Last, we introduce a simple trajectory forecasting method to the system and use it to realize the purpose of saving network and system resources.
|
| 本文pdf |
|
PDF download
|
