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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  
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 Author-1 
Date Time 2018-12-18 10:00:00 
Presentation Time 25 minutes 
Registration for ME 
Paper # ME2018-112 
Volume (vol) vol.42 
Number (no) no.44 
Page pp.31-34 
Date of Issue 2018-12-10 (ME) 

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