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Detecting a Pedestrian's Walk Direction Using MY VISION for Supporting Safe Walk of a Visually Impaired Person
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- Iizumi Shinya
- Graduate of Engineering, Kyushu Institute of Technology
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- Kooi Tan Joo
- Faculty of Engineering, Kyushu Institute of Technology
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- Ono Yuta
- Faculty of Engineering, Kyushu Institute of Technology
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- Ishikawa Seiji
- Faculty of Engineering, Kyushu Institute of Technology
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- Nitta Masuhiro
- Faculty of Engineering, Kyushu Institute of Technology
Description
In this paper, we propose a method of recognizing multiple objects using MSC-HOG (Multiple-Scale-Cell Histograms of Oriented Gradients) features and intensity models of both pedestrians and bicyclists. We also propose a method of detecting approaching passersby using different discriminators without using time-series information such as Optical Flow. The effectiveness of the proposed method is verified by experiments.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 27 451-455, 2022-01-20
ALife Robotics Corporation Ltd.
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Details 詳細情報について
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- CRID
- 1390573242525033600
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed