Presentation 2020-05-29
Distant pedestrian detection from nighttime NIR video by moving-region zooming
Atsuki Hiramatsu, Yusuke Kameda, Hiroshi Ikeoka, Takayuki Hamamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) vehicle-mounted camera / pedestrian detection / near-infrared image / CNN
Paper # SIP2020-16,BioX2020-16,IE2020-16,MI2020-16
Date of Issue 2020-05-21 (SIP, BioX, IE, MI)

Conference Information
Committee MI / IE / SIP / BioX / ITE-IST / ITE-ME
Conference Date 2020/5/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) 会議ツールは未定
Topics (in Japanese) (See Japanese page)
Topics (in English) Image and signal processing/analysis/AI technology, and their application
Chair Yoshiki Kawata(Tokushima Univ.) / Hideaki Kimata(NTT) / Naoyuki Aikawa(TUS) / Akira Otsuka(IISEC) / Shigetoshi Sugawa(Tohoku Univ.) / Arai Hiroyuki(Nippon Institute of Technology)
Vice Chair Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) / Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Kazunori Hayashi(Osaka City Univ) / Yukihiro Bandou(NTT) / Tetsushi Ohki(Shizuoka Univ.) / Takahiro Aoki(Fujitsu Labs.) / Takayuki Hamamoto(Tokyo Univ. of Science)
Secretary Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) / Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Kazunori Hayashi(Hiroshima Univ.) / Yukihiro Bandou(Hosei Univ.) / Tetsushi Ohki(Univ. of Electro-Comm.) / Takahiro Aoki(SECOM) / Takayuki Hamamoto(Saitama Univ.) / (Panasonic)
Assistant Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) / Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Kenjiro Sugimoto(Waseda Univ.) / Daishi Watabe(Saitama Inst. of Tech.) / Ryota Horie(Shibaura Inst. of Tech.)

Paper Information
Registration To Technical Committee on Medical Imaging / Technical Committee on Image Engineering / Technical Committee on Signal Processing / Technical Committee on Biometrics / Technical Group on Information Sensing Technologies / Technical Group on Media Engineering
Language JPN
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
Sub Title (in English)
Keyword(1) vehicle-mounted camera
Keyword(2) pedestrian detection
Keyword(3) near-infrared image
Keyword(4) CNN
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)
3rd Author's Name Hiroshi Ikeoka
3rd Author's Affiliation Fukuyama University(Fukuyama Univ.)
4th Author's Name Takayuki Hamamoto
4th Author's Affiliation Tokyo University of Science(TUS)
Date 2020-05-29
Paper # SIP2020-16,BioX2020-16,IE2020-16,MI2020-16
Volume (vol) vol.120
Number (no) SIP-38,BioX-37,IE-39,MI-40
Page pp.pp.79-83(SIP), pp.79-83(BioX), pp.79-83(IE), pp.79-83(MI),
#Pages 5
Date of Issue 2020-05-21 (SIP, BioX, IE, MI)