Automatic Detection of Pedestrian Signals Using a Cascade Classifier
Bibliographic Information
- Other Title
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- カスケード分類器を用いた歩行者信号の自動検出技術
Abstract
This paper proposes a real-time detection system using Raspberry Pi and a cascade classifier to guide pedestrian signals for the visually impaired. It is desirable for the visually impaired to have a device that notifies them of the signal status at hand while they are on the move, which is easy to carry. For this purpose, it is hoped to connect a web camera to a Raspberry Pi, a small computer with excellent portability, to recognize the status of pedestrian signals and communicate it to the visually impaired. We use a cascade classifier to detect a blue signal as a preliminary investigation. Experimental results demonstrate that our system can detect the signal with precision rate of 0.909 and recall rate of 0.845 in image-based evaluation. Also, it can detect the simulated signal data with the Raspberry Pi is easy under daylight conditions, especially for LED-based signals.
Journal
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- Journal of Japan Society of Directories
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Journal of Japan Society of Directories 20 (1), 62-70, 2022-03-31
Japan Society of Directories
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Details 詳細情報について
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- CRID
- 1390010643477845120
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- ISSN
- 24345629
- 24365629
- 18829252
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Allowed