CVonline: Motion and Time Sequence Analysis


Introduction

  1. Active Vision
    1. Kinetic Depth
    2. Feature Stabilization
    3. Surface Reconstruction
    4. Time-To-Contact
    5. Visual Servoing
  2. Appearance Change Analysis
  3. Change and Moving Object Detection
    1. Background Modelling
    2. Change Detection in Compressed Image/Video Data
    3. Change Detection in Non-Standard Images: Panoramic, Omnidirectional
    4. Detection with a Changing Background
    5. Foreground Modelling
    6. Image Differencing (Foward and Backward Temporal Comparison)
    7. Moving Camera Change Detection
    8. Shadow Removal, Moving Shadow Detection
  4. Depth/Range Image Temporal Sequence Analysis
  5. Image Sequence Fusion
    1. Mosaics (See Image Mosaics)
    2. Stabilization (See Image Stabilization)
    3. Superresolution
  6. Motion Field
    1. Depth Estimation
    2. Edge, Discontinuity Detection
    3. Extraction
    4. Hierarchical Estimation
    5. Region Segmentation/Decomposition
      1. Motion Layer/Multiple Motion Segmentation
    6. Particle Image Velocimetry
  7. Motion Property Estimation
    1. General Motion Estimation
    2. Observer Motion, Egomotion Estimation
    3. Periodicity Estimation
    4. Planar Motion Estimation
    5. Pure Rotation Estimation
    6. Pure Translation Estimation, Linear Motion Constraints
  8. Non-Rigid Motion Analysis
    1. Human Pose and Motion Estimation
  9. Optical Flow
    1. Affine Flow
    2. Aperture Problem
    3. Area Based Methods
    4. Binocular Methods
    5. Boundary, Discontinuity Estimation
    6. Contour Based Methods
    7. Color Optical Flow
    8. Correlation Based Flow Estimation
    9. Feature Based Flow Estimation
    10. Flow Field Calculation
    11. Flow Histogram
    12. Gradient Based Flow Estimation
    13. Information Extraction
      1. Egomotion
      2. Epipole Location
      3. Focus of Expansion
      4. Obstacle Detection
    14. Multi-Grid Methods
    15. Normal Flow
    16. Optical Flow Constraint Equation
    17. Optical Flow Smoothness Constraint
    18. Range Flow
    19. Scene Flow/Surface Motion
    20. Special Case Motions
    21. Structure from Optical Flow
  10. Sensor, Camera Motion Estimation
  11. Spatio-Temporal Analysis
    1. Epipolar Plane Analysis
    2. Spatio-Temporal Corner/Interest Point Detector
    3. Spatio-Temporal Filters
    4. Representations (see also Motion Models)
      1. Small Motion Models
      2. FAST: spatio-temporal interest point detector
    5. Temporal Shape Matching
      1. Spatio-Temporal Relationship Match (SRM)
      2. Temporal Geometric Shape Model Matching
      3. Temporal Property Model Matching
    6. Temporal Spatio-Velocity transform
  12. Structure from Motion/Structure and Motion
    1. Articulated Object Segmentation
    2. Classical Structure from Motion
    3. Model-based Shape and Motion Capture
    4. Multi-Frame Structure Estimation
      1. Critical Motions
      2. Initialization
      3. Metrical (or Euclidean) Reconstruction
    5. Nonlinear Recursive Methods
    6. Rigid Body Segmentation
    7. Rigidity Constraint
    8. Structure Consistency Constraint
    9. Structure Factorization
      1. Factorization with Uncertainty
    10. Surface Reconstruction
    11. Temporal Factorization
  13. Temporal Event Analysis (See also Temporal Representations)
    1. Activity Analysis
      1. Action Temporal Segmentation
      2. Instantaneous Activity Recognition
      3. Long Term Activity
        1. Hidden Markov Model Matching
        2. Hidden Semi-Markov Model Matching
        3. Rule-Based/Syntactic Model Matching
        4. Trajectory Model Matching
    2. Novelty/Unusual Event Detection
    3. Self-Similarity Matrix
  14. Tracking
    1. Articulated Object Tracking
    2. Binocular Tracking
    3. Discontinuous Events
    4. Feature Tracking Approaches
      1. Active Contour Tracking
      2. Appearance-based Tracking
      3. Edge Tracking
      4. Fiducial/Marker Tracking
      5. Model-Based Tracking
      6. Optical Flow-based Target Tracking
      7. Pose Based Tracking
      8. Scene Feature Based Tracking
      9. Template/Correlation Based Tracking
      10. Temporal Stereo
      11. Texture-Based Tracking
    5. Moving Camera Based Tracking
    6. Multiple Target Tracking
      1. Feature Based Tracking
      2. Optical Flow Analysis
      3. Template Based Tracking
    7. Target Tracking Approaches
      1. Detection by Background Differencing (See Change Detection)
      2. Detection Regions
      3. Persisence Through Occlusion
      4. Target Correspondence
    8. Tracking Information Fusion
      1. Condensation/Particle Filter Tracking
      2. Tracking Using Bayesian belief propagation
      3. Tracking Using Hidden Markov Models
      4. Tracking Using Kalman Filters
    9. Vergence Maintenance

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