Tactic Analysis in Football

Instructors:Nima Najafzadeh

Mahdi OraeiSpring 2011

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Out line

• Introduction• Framework• Related Works• Tactic Analysis• Advantages and disadvantages• Challenges• Future Works• References

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Introduction

• Using digital Videos with high quality for analyzing

• Some Services:• Highlight Replay• in game Statistics‐• Pattern Analysis• Tracking• Semantic Analysis

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Framework

• Low-level processing based analysis• Mid-level representation based

analysis• High-level analysis based on

multimodality

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Framework

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Source Video

Low level Features

Visual Features:•Color•Shape

Audio Features Text Features

Framework

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Visual Model:

•Motion•Ball and player trajectories

Mid-Level Model

Audio Model:•Audio keyword model

Text models:•Text keywords model

Model selections

Domain knowledge

& Machine learning

Framework

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Semantics concept

Event & highlight

extraction

Tactic analysis

Tracking

In game statistics

Related Works

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• Existing approaches for soccer video analysis were mostly for event-driven indexing of video content, which cannot provide detailed tactic information used in the game.

Tactic Analysis

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Tactic Analysis

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• GOAL EVENT EXTRACTION• Web-Casting Text Analysis

Tactic Analysis

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• GOAL EVENT EXTRACTION• Game Time Recognition• Video/Text Alignment

Tactic Analysis

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Tactic Information Extraction and Representation

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• Multi-Object Trajectories Acquisition• Ball Detection and Tracking• Player Detection and Tracking

Ball Detection and Tracking

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Player Tracking

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TACTIC INFORMATION EXTRACTION AND REPRESENTATION

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• Aggregate Trajectory Computation• Mosaic Trajectory Computation• Temporal and Spatial Interaction Analysis

TACTIC INFORMATION EXTRACTION AND REPRESENTATION

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• Play Region Identification

Tactic Analysis

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Tactic Analysis

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• TACTIC PATTERN ANALYSIS• Route Pattern Recognition• Interaction Pattern Recognition

• TACTIC MODE PRESENTATION• Data must be clearly and concisely and easy

to understand• Usable information like ball tracking, player

tracking, etc.

Advantages & Disadvantages

• Pros:• Event-driven plus tactic analysis• Effective performance in ball and

players tracking• Good performance in 2006 world cup

• Cons:• human-labeled: Web-Casting Text• Weak machine learning in use

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Challenges

• the ball becomes a long blurred strip when it moves fast

• the ball is sometimes occluded by players, merged with lines, or hidden in the auditorium

• many other objects are similar to the ball.

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Future Works

• Using sensor for players and balls• Using online statistics of match

for coaching• Develop this method for other

sports

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Reference• G. Zhu, Q. Huang, C. Xu, Y. Yui, S. Jiang,W. Gao, and H.

Yao. Trajectory based event tactics analysis in broadcast sports video. In 15th Int. Conf. on Multimedia, pages 58–67, 2007

• Sports Video Analysis: Semantic Extraction, Editorial Content Creation and Application, Changsheng Xu, 2009

• Survey of Sports Video Analysis: Research Issues and Applications, J. R. Wang, 2005

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Any Question?

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