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Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors:	Uma, Maheswari, Rajaram, M., Sivanandam, S.N.
Other Authors:	umayam2003@yahoo.co.in
Format:	Working Paper
Language:	English
Published:	Universiti Malaysia Perlis 2009
Subjects:	Tactical analysis Sports video mining Player classification Mining on object-relational databases Mining on cricket data Player strength weakness analysis Knowledge extraction for tactical training Sports
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/7289
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id	my.unimap-7289
record_format	dspace
spelling	my.unimap-72892010-01-15T14:13:38Z Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases Uma, Maheswari Rajaram, M. Sivanandam, S.N. umayam2003@yahoo.co.in Tactical analysis Sports video mining Player classification Mining on object-relational databases Mining on cricket data Player strength weakness analysis Knowledge extraction for tactical training Sports Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. The advent of video coverage of sports has provided an impetus to develop models for tactics analysis for providing training assistance by summarizing the play tactics from video streams. Though there are plenty of sports data and statistics available, there has been no real effort to scientifically extract value from such data. The rapid growth in size of the match database far exceeds the human abilities to analyze such data, thus creating an opportunity for using data mining on this database. The aim of this work is to mine sports video annotation data to extract knowledge about match play sequences and applying that knowledge for classification of players for developing player specific training taxonomy. The major objective of this paper is to analyze individual player’s performances and to devise a classification technique so as to classify them into appropriate groups using the frequently played patterns and other performance indices like strike rate, six-runs and fourruns. This classification helps the coaches to know the current form of the player and to understand their strengths and weaknesses. With this information, a coach can assess the effectiveness of certain coaching decisions and formulate game strategy for subsequent games. To achieve the objective of this work, video stream of cricket matches were observed manually and ball shot descriptions were taken as annotation and stored into an object-relational data model. Frequently occurring patterns were identified, then further evaluation was carried out on those patterns to group them into different clusters based ontheir influence in producing success and failure. Classification mechanism is applied to analyze each and every individual player’s strengths and weaknesses to fix them into a respective class of training taxonomy. 2009-11-13T07:43:20Z 2009-11-13T07:43:20Z 2009-10-11 Working Paper p.1B3 1 - 1B3 9 http://hdl.handle.net/123456789/7289 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Tactical analysis Sports video mining Player classification Mining on object-relational databases Mining on cricket data Player strength weakness analysis Knowledge extraction for tactical training Sports
spellingShingle	Tactical analysis Sports video mining Player classification Mining on object-relational databases Mining on cricket data Player strength weakness analysis Knowledge extraction for tactical training Sports Uma, Maheswari Rajaram, M. Sivanandam, S.N. Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
description	Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2	umayam2003@yahoo.co.in
author_facet	umayam2003@yahoo.co.in Uma, Maheswari Rajaram, M. Sivanandam, S.N.
format	Working Paper
author	Uma, Maheswari Rajaram, M. Sivanandam, S.N.
author_sort	Uma, Maheswari
title	Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
title_short	Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
title_full	Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
title_fullStr	Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
title_full_unstemmed	Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
title_sort	sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases
publisher	Universiti Malaysia Perlis
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/7289
_version_	1643788750032994304
score	13.222552

Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases

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