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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2021-03-04
12:10
Online Online Data Extraction from Printed Data-Embedding Image Using Projectors
Motoki Amami, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2020-44
A method that embeds information in images to extract additional information using the camera of a mobile device has bee... [more] SIS2020-44
pp.49-54
PRMU 2017-12-17
17:00
Kanagawa   A Background Subtraction Method with an Image Set as a Background Model
Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111
Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and ve... [more] PRMU2017-111
pp.65-70
PRMU 2014-10-09
14:00
Chiba   A study on the reference image selection for the removal of moving objects from frontal in-vehicle camera videos
Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2014-54
In recent years, the demand for a street-view image database combining street-view images and their location information... [more] PRMU2014-54
pp.1-6
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-24
09:10
Osaka   Spotting recognition of performance motions of figure skating from videos of TV broadcasting
Yuki Yokokura, Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ. of Aizu) PRMU2013-106 MVE2013-47
We report the result of spotting recognition of sport motions captured by moving cameras of broadcasting TV. We focused ... [more] PRMU2013-106 MVE2013-47
pp.159-164
PRMU 2013-06-11
15:30
Tokyo   Spotting Recognition of Motions from a Video Captured by a Moving camera
Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ Aizu) PRMU2013-31
In the technology of first person vision, recognition of human motions is an important function as well as recognition o... [more] PRMU2013-31
pp.71-76
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2010-12-02
10:50
Kyoto Nagoya Univ Free-viewpoint Image Generation using Moving Object Extraction
Kazuma Suzuki (Nagoya Univ.), Norishige Fukushima (Nagoya Inst. Tech.), Tomohiro Yendo, Mehrdad Panahpour Tehrani (Nagoya Univ.), Toshiaki Fujii (Tokyo Inst. Tech.), Masayuki Tanimoto (Nagoya Univ.) CS2010-53 IE2010-92
In this paper, we propose a method of free-viewpoint image generation using moving object extraction. In free-viewpoint ... [more] CS2010-53 IE2010-92
pp.11-16
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2010-12-03
09:00
Kyoto Nagoya Univ Study of a Temporal Modified-RANSAC Based Method for the Extraction and 3D Shape Reconstruction of Moving Objects from Dynamic Stereo Images and for Estimating the Camera Pose
Naotomo Tatematsu, Jun Ohya (Waseda Univ.) CS2010-60 IE2010-99
This paper proposes a Temporal modified RANSAC based method that can discriminate each moving object from the still back... [more] CS2010-60 IE2010-99
pp.79-84
IE 2009-03-16
14:10
Ehime   A half-cosine function wavelet network based moving object area extraction using a difference of objects' size
Kazutoshi Ikeda, Tsutomu Miki (Kyushu Inst. of Tech.) IE2008-259
A practical moving object’s area extraction method using a difference of object's size is proposed. The proposed method ... [more] IE2008-259
pp.35-40
MVE, IE 2007-07-10
10:00
Shizuoka Resorpia Atami Improvement of Moving Object Extraction Based on Two-Layered Clustering of Affine Parameters
Takefumi Kojima (Kanazawa Univ.), Satoshi Inoue (SHIGA FUJITSU SOFTWARE), Kousuke Imamura, Hideo Hashimoto (Kanazawa Univ.) IE2007-30 MVE2007-33
We have shown a moving-object segmentation method that employs clustering of affine parameters for image blocks.
The e... [more]
IE2007-30 MVE2007-33
pp.61-66
 Results 1 - 9 of 9  /   
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