Presentation 2002/6/20
Ball and Player Tracking in Soccer Game Based on Normalized Correlation Method Using Divided Template
Nobuo KANZAKI, Yasuo ARIKI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) For contents based retrieval in video, it is necessary to describe the video contents. Especially, positions of moving objects in an image are important content description. So far, a nomalized correlation method was widely used for moving object tracking. However, it is difficult to correctly track the object by a normalized correlation method, because it is sensitive to local intenity change and partial occlution due to whole template matching. In order to solve this problem, we propose the ball and player tracking based on normalized correlation method by dividing the template. The divided template can solve the local intensity change and partial occlution.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) moving image / position information / partial occlusion / divided template / normalized correlation method
Paper # PRMU2002-27
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Conference Information
Committee PRMU
Conference Date 2002/6/20(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Ball and Player Tracking in Soccer Game Based on Normalized Correlation Method Using Divided Template
Sub Title (in English)
Keyword(1) moving image
Keyword(2) position information
Keyword(3) partial occlusion
Keyword(4) divided template
Keyword(5) normalized correlation method
1st Author's Name Nobuo KANZAKI
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Yasuo ARIKI
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 2002/6/20
Paper # PRMU2002-27
Volume (vol) vol.102
Number (no) 155
Page pp.pp.-
#Pages 6
Date of Issue