Inhalt

•  
   Introduction
•  
   Goals and Motivations
•  
   Problem Statement
•  
   Contributions
•  
   Thesis Organization
•  
  Sport Player Tracking Overview
•  
   Tracking as a Computer Vision Problem
•  
  State of the Art
•  
   Background/Foreground Segmentation
•  
   Encoding Visual Features
•  
   Multi Target Tracking
•  
   Evaluation of Tracking Systems
•  
   Commercial Sport Video Analysis Systems
•  
   Discussion
•  
  Deterministic Tracking
•  
   Blob-based Tracking
•  
   Template Matching-based Tracking
•  
   Matching Functions
•  
   Selection of Template
•  
   Head Template Update
•  
   Enhanced Template Matching Algorithm
•  
   Tracking Algorithm
•  
   Discussion
•  
   Probabilistic Tracking
•  
   Particle Filter
•  
  Particle Filter-based Player Tracking
•  
   Modeling the Player
•  
   Modeling Player Motion Dynamics
•  
   Color-Based Likelihood Function
•  
   Tracking Algorithm
•  
   Discussion
•  
   Managing Multiple Players
•  
   The Concept of Closed Worlds and Its Use in Tracking
•  
   Enhancement by Local Partitioning Strategy
•  
   Optimizations Based on Closed World Assumptions
•  
   Discussion
•  
   Sport Performance Analyzer Software
•  
   Structure of SPA
•  
   Software Design
•  
   Recording Video and Bio-signals Data Module
•  
   Tracking Module
•  
   Analysis and Visualization Module
•  
   Utilities for Testing
•  
   Discussion
•  
   Experimental Study
•  
   Experimental Setup
•  
   Pre-processing of Video Data
•  
   Post-processing of Position Data
•  
   Implementation and Running Times of Pre- and Post- Processing
•  
   Description of Test Datasets
•  
   Own Recorded Datasets
•  
   Own Benchmark Datasets
•  
   Handball World Cup Dataset
•  
   Test Quality Criteria Datasets
•  
   Performance Measurements and Quality Criteria of The Tracking System
•  
   Performance Measurements
•  
   Definition of Quality Criteria
•  
   Definition of Evaluation Hypotheses
•  
  Results of Template Matching-based Tracking
•  
   Parameters of Tracking Algorithms
•  
   Experimental Results
•  
  Results of Particle Filter-based Tracking
•  
   Parameters of Tracking Algorithms
•  
   Experimental Results
•  
   Implementation and Running Times of Tracking Algorithms
•  
  Evaluation of Quality Criteria
•  
   Description of Tests
•  
   Results of Quality Criteria Tests
•  
   Evaluation of The Hypotheses
•  
   Discussion
•  
  Summary, Conclusions and Future Work
•  
   Summary and Conclusions
•  
   Future Work
•  
   Bibliography
•  
   Appendices
•  
  Numerical Results
•  
   Test 2
•  
   Test 3
•  
   Publications