Vision-based Pedestrian Recognition using AdaBoost
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- MATSUSHIMA Kousuke
- Department of Control and Information Systems Engineering, Kurume National College of Technology
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- SENBA Kouhei
- Department of Control and Information Systems Engineering, Kurume National College of Technology
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- UCHIMURA Keiichi
- Graduate School of Science and Technology, Kumamoto University
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- ESAKI Shoji
- Department of Control and Information Systems Engineering, Kurume National College of Technology
Bibliographic Information
- Other Title
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- AdaBoostを用いたカメラ画像からの歩行者認識(ITS画像処理,映像メディア及び一般)
- AdaBoostを用いたカメラ画像からの歩行者認識
- AdaBoost オ モチイタ カメラ ガゾウ カラ ノ ホコウシャ ニンシキ
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Abstract
Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inclusion of pedestrian protection systems such as external airbags is being consider as a solution to preventing pedestrian fatality and injury. However, such systems require knowledge of pedestrian presence for correct activation. In this work, it proposes the pedestrian recognition technique for considering three-dimensional information based on the image obtained from right and left cameras set up in the vehicle. These techniques are applied to the road scene images, and the confirmation and the verification of effectiveness are performed.
Journal
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- ITE Technical Report
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ITE Technical Report 33.6 (0), 97-102, 2009
The Institute of Image Information and Television Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282679502906368
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- NII Article ID
- 110007162231
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 10194379
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed