Presentation | 2017-05-26 Background Modeling based on Gaussian Mixture Model using Spatial Features Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many methods for detecting a moving object from surveillance video using a background model have been proposed. Mixed Gaussian distribution is widely used to construct background models, but it can not cope well with scenes due to the frequent background changes. In this paper, we proposed a method with high followability to background change by using spatial information of pixels as feature, constructing a background model with mixed Gaussian distribution at multilevel. The results of the proposed method were compared with the Ground Truth of the data set and evaluated by the F - measure method, and it was confirmed that the precision rate and the recall rate of the proposed method exceed the conventional methods such as Gaussian Mixture Model (GMM) and Local Binary Pattern (LBP). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Background model / Moving object detection / Gaussian Mixture Model / Spatial information |
Paper # | SIP2017-24,IE2017-24,PRMU2017-24,MI2017-24 |
Date of Issue | 2017-05-18 (SIP, IE, PRMU, MI) |
Conference Information | |
Committee | PRMU / IE / MI / SIP |
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Conference Date | 2017/5/25(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Eisaku Maeda(NTT) / Seishi Takamura(NTT) / Yoshitaka Masutani(Hiroshima City Univ.) / Makoto Nakashizuka(Chiba Inst. of Tech.) |
Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Atsuro Ichigaya(NHK) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) / Masahiro Okuda(Univ. of Kitakyushu) / Shogo Muramatsu(Niigata Univ.) |
Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / Takayuki Hamamoto(NTT) / Atsuro Ichigaya(Chiba Inst. of Tech.) / Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) / Masahiro Okuda(Ritsumeikan Univ.) / Shogo Muramatsu(Chiba Inst. of Tech.) |
Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / Kei Kawamura(KDDI R&D Labs.) / Keita Takahashi(Nagoya Univ.) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) / Osamu Watanabe(Takushoku Univ.) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Image Engineering / Technical Committee on Medical Imaging / Technical Committee on Signal Processing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Background Modeling based on Gaussian Mixture Model using Spatial Features |
Sub Title (in English) | |
Keyword(1) | Background model |
Keyword(2) | Moving object detection |
Keyword(3) | Gaussian Mixture Model |
Keyword(4) | Spatial information |
1st Author's Name | Kan Zheng |
1st Author's Affiliation | Mie University(Mie Univ.) |
2nd Author's Name | Toshio Kondo |
2nd Author's Affiliation | Mie University(Mie Univ.) |
3rd Author's Name | Yuki Fukazawa |
3rd Author's Affiliation | Mie University(Mie Univ.) |
4th Author's Name | Takahiro Sasaki |
4th Author's Affiliation | Mie University(Mie Univ.) |
Date | 2017-05-26 |
Paper # | SIP2017-24,IE2017-24,PRMU2017-24,MI2017-24 |
Volume (vol) | vol.117 |
Number (no) | SIP-47,IE-48,PRMU-49,MI-50 |
Page | pp.pp.125-130(SIP), pp.125-130(IE), pp.125-130(PRMU), pp.125-130(MI), |
#Pages | 6 |
Date of Issue | 2017-05-18 (SIP, IE, PRMU, MI) |