Paper Abstract and Keywords |
Presentation |
2025-03-10 14:30
Research on the Application of Pedestrian Dynamics Analysis Based on Video to Crowd Animation Keita Kitoki, Tomokazu Ishikawa (Toyo Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This study aims to improve the efficiency of animation production by utilizing object detection algorithms and monocular depth estimation to reproduce real pedestrian dynamics in 3DCG. The domestic animation industry faces challenges such as long working hours and reliance on manual labor. To address this, 3DCG is increasingly being used for backgrounds and crowd scenes to enhance efficiency. This study proposes a system that extracts crowd motion from videos, enabling production companies to internally generate crowd animations, thereby reducing production time and costs. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
3DCG / Crowd Animation / Object Detection / Depth Estimation / / / / |
Reference Info. |
ITE Tech. Rep., vol. 49, pp. 389-390, March 2025. |
Paper # |
|
Date of Issue |
2025-03-03 (AIT) |
ISSN |
Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
AIT IIEEJ AS CG-ARTS |
Conference Date |
2025-03-10 - 2025-03-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Polytechnic Univ. (Nakano) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Expressive Japan 2025 |
Paper Information |
Registration To |
IIEEJ |
Conference Code |
2025-03-AIT-IIEEJ-AS-ARTS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Research on the Application of Pedestrian Dynamics Analysis Based on Video to Crowd Animation |
Sub Title (in English) |
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3DCG |
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Crowd Animation |
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Object Detection |
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Depth Estimation |
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1st Author's Name |
Keita Kitoki |
1st Author's Affiliation |
Toyo University (Toyo Univ.) |
2nd Author's Name |
Tomokazu Ishikawa |
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Toyo University (Toyo Univ.) |
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Speaker |
Author-1 |
Date Time |
2025-03-10 14:30:00 |
Presentation Time |
80 minutes |
Registration for |
IIEEJ |
Paper # |
AIT2025-151 |
Volume (vol) |
vol.49 |
Number (no) |
no.10 |
Page |
pp.389-390 |
#Pages |
2 |
Date of Issue |
2025-03-03 (AIT) |