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Paper Abstract and Keywords
Presentation 2018-12-18 10:00
A Study for Ball Tracking in Basketball Analysis using Multi-View Image Sequences
Shuji Tanikawa, Norio Tagawa (TMU)
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we examine a tracking method of basketball players that can avoid occlusion using multi-view image sequences and OpenPose. Based on the images captured by hand-held cameras, we detect players in the images corresponding to each viewpoint by using OpenPose, and project them to a two-dimensional map viewed from just above the court to integrate multi-view images. We deal with the movement of players in consecutive frames as a trajectory in each viewpoint. When occlusion occurs at a certain viewpoint and tracking becomes impossible, the projection of the trajectory on the 2-D map is interrupted. However, since occlusion does not occur at other viewpoints, it can be assumed that the trajectory on the 2-D map is connected. In viewpoint images where the track is interrupted, tracking will be done for a while after new players are found. Subsequently, by evaluating the consistency with the continuous trajectory of the other viewpoint on the 2-D map, correspondence with an appropriate trajectory can be performed again. We developed a method to track players while avoiding occlusion by consolidating multi-view time series data as trajectories.
Keyword (in Japanese) (See Japanese page) 
(in English) analysis of basketball / multi-view image sequence / occlusion / player detection / OpenPose / / /  
Reference Info. ITE Tech. Rep., vol. 42, no. 44, ME2018-112, pp. 31-34, Dec. 2018.
Paper # ME2018-112 
Date of Issue 2018-12-10 (ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee ME SIP  
Conference Date 2018-12-17 - 2018-12-18 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2018-12-ME-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study for Ball Tracking in Basketball Analysis using Multi-View Image Sequences 
Sub Title (in English)  
Keyword(1) analysis of basketball  
Keyword(2) multi-view image sequence  
Keyword(3) occlusion  
Keyword(4) player detection  
Keyword(5) OpenPose  
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1st Author's Name Shuji Tanikawa  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Norio Tagawa  
2nd Author's Affiliation Tokyo Metropolitan University (TMU)
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Speaker
Date Time 2018-12-18 10:00:00 
Presentation Time 25 
Registration for ME 
Paper # ITE-ME2018-112 
Volume (vol) ITE-42 
Number (no) no.44 
Page pp.31-34 
#Pages ITE-4 
Date of Issue ITE-ME-2018-12-10 


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