Shafik, Mohamed Salah El-Neshawy: 3D motion analysis for mobile robots. 2013
Content
- Introduction
- Motion Analysis in Active Vision
- Formulation of the Problem
- Motion Segmentation and Motion of Segments
- Thesis Outline
- Basic Concepts
- Visual Motion Estimation
- Motion Detection from a Static Camera
- 2D Motion Vector Fields
- 3D Motion Interpretation
- Related Literature
- Introduction
- Biologically Motivated Classifier
- Motion Segmentation Based on Dense Optical Flow
- Motion Analysis Based on 3D Shape Construction
- Constraints of Alternative Systems
- 3D Motion Parameter Estimation
- Daugman's Neural Network
- Enhanced 3D Motion Parameters Estimation
- Results on 3D Motion Segmentation Approach
- Chapter Summary
- 3D Saliency-Based Motion Segmentation
- Filtering of 2D Input MVFs
- Vector-Based Motion Segmentation
- Saliency-Based 3D Motion Segmentation
- Chapter Summary
- Depth-Integrated 3D Motion Estimation
- Pinhole Stereo Geometry
- Perspective Projection
- Integrating Depth for Estimating 3D Motion
- Real-Time Segment Based Stereo Algorithm
- 3D Representation of Motion Parameters
- 3D Representation of a Motion Vector Field
- Detection of 3D Motion Patterns
- Chapter Summary
- Results and Evaluation
- Experimentation Platforms
- 3D Motion Parameters Estimation Results
- Saliency-Based Motion Segmentation Results
- Synthetic Motion Templates
- Dynamic Virtual Scene from a Moving Camera
- Dynamic Real-World Scene from a Static Camera
- Performance Results
- Depth-Integrated Motion Segmentation Results
- Synthetic Motion Templates
- Dynamic Virtual Scene from a Moving Stereo Camera
- Dynamic Scene from a Moving Stereo Camera
- Collision Detection with the Drivable Tunnel
- Chapter Summary
- Conclusion
- Bibliography
- List of Tables
- List of Figures
- List of Abbreviations
- List of Symbols