Paper Abstract and Keywords |
Presentation |
2020-05-29 15:10
Distant pedestrian detection from nighttime NIR video by moving-region zooming Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are important in preventing traffic accidents and reducing damage. Visible light cameras are generally used for pedestrian detection. However, there is a problem that clear images cannot be captured in low-light environments such as at night. On the other hand, the combination of near-infrared (NIR) camera and near-infrared light can capture clear images even in low-light environments. Thus it is expected to develop the pedestrian detection technology using them. Previous studies on pedestrian detection from NIR images include methods using deep convolutional neural networks (CNN) with real-time computation and high detection accuracy. However, it is difficult to detect distant pedestrians in small areas of the image because convolution and pooling are combined in the previous study CNN. In this paper, we propose a method to equalize the apparent size of distant pedestrians as preprocessing of CNN input. Specifically, it extracts the time-varying pixels from the input consecutive frames and adaptively chooses the pixel blocks to be enlarged. We aim to improve the accuracy of pedestrian detection in the postprocessing by inputting the enlarged image to the CNN. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
vehicle-mounted camera / pedestrian detection / near-infrared image / CNN / / / / |
Reference Info. |
ITE Tech. Rep. |
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Conference Information |
Committee |
IEICE-MI IEICE-IE IEICE-SIP IEICE-BioX IST ME |
Conference Date |
2020-05-28 - 2020-05-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image and signal processing/analysis/AI technology, and their application |
Paper Information |
Registration To |
IEICE-IE |
Conference Code |
2020-05-MI-IE-SIP-BioX-IST-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Distant pedestrian detection from nighttime NIR video by moving-region zooming |
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vehicle-mounted camera |
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pedestrian detection |
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near-infrared image |
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CNN |
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1st Author's Name |
Atsuki Hiramatsu |
1st Author's Affiliation |
Tokyo University of Science (TUS) |
2nd Author's Name |
Yusuke Kameda |
2nd Author's Affiliation |
Tokyo University of Science (TUS) |
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Hiroshi Ikeoka |
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Fukuyama University (Fukuyama Univ.) |
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Takayuki Hamamoto |
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Tokyo University of Science (TUS) |
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Speaker |
Author-1 |
Date Time |
2020-05-29 15:10:00 |
Presentation Time |
20 minutes |
Registration for |
IEICE-IE |
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Volume (vol) |
vol.44 |
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