Development of Elemental Technology for Practical Use of Night-Vision Using Visible Light

开发可见光夜视实用化的基本技术

• 批准号: 21500176
• 负责人: HAMA Hiromitsu
• 金额: $ 2.91万
• 依托单位: Osaka City University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21500176/
• 关键词: 画像情報処理; 可視光; 高輝度光源; パターン認識; ナイトビジョン; 歩行者検知; 傾斜計; 消失線; マルチスリット; 情報提示; 高度道路交通システム; 運転支援; 顕著性; 消失点; 傾斜形

During the next decade, on-board pedestrian detection systems will play a key role in the challenge of increasing traffic safety. The main goal of this research work is to detect robustly pedestrians in urban scenarios even under illumination changes and cluttered environments. We proposed an improved method for pedestrian detection using an Attitude Measurement Unit(AMU) in conjunction with multi-slit data. Through experimental results, it has been confirmed that the integration of the proposed techniques will give rise to a more economical, accurate, and versatile system.

在未来十年中，车载行人检测系统将在提高交通安全的挑战中发挥关键作用。这项研究工作的主要目标是鲁棒地检测行人在城市场景下，即使在光照变化和杂乱的环境。我们提出了一种改进的行人检测方法，使用姿态测量单元（AMU）结合多狭缝数据。通过实验结果，它已被证实，所提出的技术的集成将产生一个更经济，准确，通用的系统。

项目成果

研究者一覧 詳細

研究人员名单详细信息

A Markov Random Walk Model for Loitering People Detection

• DOI: 10.1109/iihmsp.2010.172
• 发表时间: 2010-10
• 期刊: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
• 作者: Thi Thi Zin-Thi;P. Tin;T. Toriu;H. Hama

Challenges and Promises in Human Behavior Understanding

人类行为理解的挑战和前景

• 发表时间: 2011
• 期刊: Journal of Research and Surveys
• 作者: Pyke Tin;Thi Thi Zin;H. Hama and T. Toriu
• 通讯作者: H. Hama and T. Toriu

An Improved Pedestrian Detection Method for DSS(Driver Supporting System) using an Attitude Measurement Unit

一种改进的基于姿态测量单元的DSS(驾驶员支持系统)行人检测方法

• 发表时间: 2011
• 期刊: Memoirs of the Faculty of Engineering, Osaka City University
• 作者: Y. Hashimoto;Thi Thi Zin;T. Toriu and H. Hama
• 通讯作者: T. Toriu and H. Hama

Simultaneous Visual Ranking and Clustering Using Weighted Multiple Features

使用加权多个特征的同时视觉排名和聚类

• 发表时间: 2011
• 作者: Tao Geng;Thi Thi Zin;Pyke Tin;Takashi Toriu;Hiromitsu Hama
• 通讯作者: Hiromitsu Hama