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An Improved Mean Shift Algorithm Based Tracking System for Soccer Game Analysis

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/39712

Title: An Improved Mean Shift Algorithm Based Tracking System for Soccer Game Analysis
Authors: Chiang, Tsung-Kang Browse this author
Leou, Jin-Jang Browse this author
Lin, Cheng-Shian Browse this author
Issue Date: 4-Oct-2009
Publisher: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
Journal Title: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
Start Page: 380
End Page: 385
Abstract: In this study, an improved mean shift algorithm based tracking system with motion prediction and object window enlarging for soccer game analysis is proposed. The objective of the proposed system is to track soccer players (moving objects) efficiently and accurately. Discriminative color selection for modeling soccer players is employed, occlusions are well handled, and incoming and outgoing players are detected and handled in the proposed system. Based on the experimental results obtained in this study, the tracking results as well as the recall and precision rates of the proposed system are better than those of the three comparison systems.
Description: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Vision-based Information Processing and Applications (6 October 2009).
Conference Name: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議
Conference Place: Sapporo
Type: proceedings
URI: http://hdl.handle.net/2115/39712
Appears in Collections:北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

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