Machine Learning for Vision-Based Motion Analysis

Theory and Techniques

Editors:

ISBN: 978-0-85729-056-4 (Print) 978-0-85729-057-1 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages I-XIV

  2. Manifold Learning and Clustering/Segmentation

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-26

      Practical Algorithms of Spectral Clustering: Toward Large-Scale Vision-Based Motion Analysis

    3. No Access

      Book Chapter

      Pages 27-53

      Riemannian Manifold Clustering and Dimensionality Reduction for Vision-Based Analysis

    4. No Access

      Book Chapter

      Pages 55-74

      Manifold Learning for Multi-dimensional Auto-regressive Dynamical Models

  3. Tracking

    1. Front Matter

      Pages 75-75

    2. No Access

      Book Chapter

      Pages 77-115

      Mixed-State Markov Models in Image Motion Analysis

    3. No Access

      Book Chapter

      Pages 117-144

      Learning to Detect Event Sequences in Surveillance Streams at Very Low Frame Rate

    4. No Access

      Book Chapter

      Pages 145-158

      Discriminative Multiple Target Tracking

    5. No Access

      Book Chapter

      Pages 159-177

      A Framework of Wire Tracking in Image Guided Interventions

  4. Motion Analysis and Behavior Modeling

    1. Front Matter

      Pages 179-179

    2. No Access

      Book Chapter

      Pages 181-214

      An Integrated Approach to Visual Attention Modeling for Saliency Detection in Videos

    3. No Access

      Book Chapter

      Pages 215-261

      Video-Based Human Motion Estimation by Part-Whole Gait Manifold Learning

    4. No Access

      Book Chapter

      Pages 263-274

      Spatio-Temporal Motion Pattern Models of Extremely Crowded Scenes

    5. No Access

      Book Chapter

      Pages 275-304

      Learning Behavioral Patterns of Time Series for Video-Surveillance

  5. Gesture and Action Recognition

    1. Front Matter

      Pages 305-305

    2. No Access

      Book Chapter

      Pages 307-348

      Recognition of Spatiotemporal Gestures in Sign Language Using Gesture Threshold HMMs

    3. No Access

      Book Chapter

      Pages 349-370

      Learning Transferable Distance Functions for Human Action Recognition

  6. Back Matter

    Pages 371-372