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Beuter, Niklas: 3D human detection and tracking on a mobile platform for situation awareness. 2011
Inhalt
1 Motivation
1.1 Scenario Description
1.2 Problem Description and Definition
1.3 Contribution of this Thesis
1.4 Overview
2 Visual Basis for Situation Awareness
2.1 Description of Sensor Set-ups
2.1.1 Monochrome Vision
2.1.2 Stereo Vision
2.1.3 Multi-Camera Set-up
2.1.4 Active Cameras for 3D Vision
2.1.5 Sensor Ensemble
2.2 Object Detection
2.2.1 Object Detection ideal for Static Cameras
2.2.2 Object Detection for Static and Moving Cameras
2.3 Visual Tracking
2.3.1 Feature Tracking
2.3.2 Multiple Feature Tracking
2.3.3 Template Tracking
2.3.4 Kernel Tracking
2.3.5 Tracking using Filters
2.3.6 Tracking by Multiple Models for Adaptive Estimation
2.3.7 Tracking by Joint Probabilistic Data Association Filter
2.4 Summary
3 Acquiring 3D Scene Models in Vista Spaces
3.1 Introduction in Scene Analysis
3.2 Proposed System Overview
3.3 Preprocessing of the Input Data
3.4 3D Motion Computing using Optical Flow
3.5 Detection and Tracking of Dynamic Objects
3.6 Adaptive Background Modelling
3.7 Experiments and Results
3.8 Conclusion
4 A 3D Tracking System on a Moving Platform
4.1 Request of Static and Moving Cameras
4.2 Tracking Systems on a Mobile Platform
4.2.1 Laser-Based Tracking Systems
4.2.2 Person Following Tracking Systems
4.2.3 Motion Detection Tracking Systems
4.2.4 Mobile Robot Tracking Systems
4.2.5 Vehicle Tracking Systems
4.3 A Modular Person Tracking System
4.3.1 System Overview
4.3.2 System Integration on a Mobile Robot
4.4 Object Detection Module
4.4.1 Pre-Detection through U-V-Disparity
4.4.2 Detection Verification
4.5 Hypotheses Management
4.6 Tracking Module
4.7 Experiments and Results
4.7.1 Evaluated Datasets
4.7.2 Qualitative Results of the Proposed System Approach
4.7.3 Quantitative Analysis of the Proposed System Approach
4.7.4 Enhancement through Pre-Detection
4.7.5 Analysis of the Proposed Tracking Algorithm
4.7.6 Comparison with State-Of-The-Art Tracking Algorithms
4.7.7 Comparison with a laser based Person Tracking
4.7.8 Parameter Analysis
4.8 Conclusion
5 Attention Focus for Situation Awareness
5.1 Attention Systems in Human-Robot-Interaction
5.2 Directing the Attention Focus
5.2.1 Bottom-Up Saliency
5.2.2 Top-Down Attention
5.3 Weak Object Model
5.4 Experiments and Results
5.5 Conclusion
6 Conclusion and Outlook
A Appendix
B Appendix
Bibliography