Toward Learning Mixture-of-Parts Pictorial Structures

Posted in Science on July 28, 2008


Toward Learning Mixture-of-Parts Pictorial Structures

Lecture slides:

  • Talk Objectives
  • The OSU Digital Scout Project
  • Raw Video Data
  • Registered Video Data
  • Problem: Formation Labelling
  • Challenges in Formation Labelling
  • Problem Constraints
  • Previous Attempt
  • Structured Output Representations
  • Pictorial Structures
  • Matching pictorial structures
  • Efficient matching
  • Pictorial Structures for Football
  • Mixture of Parts Pictorial Structures (MoPPS)
  • MoPPS Inference
  • MoPPS Tree Representation
  • MoPPS Tree for Football
  • MoPPS Tree Inference
  • Branch-and-Bound Search
  • Lower Bound Computations
  • Upper Bound Computations
  • MoPPS Tree Parameters for Football
  • Background Model
  • Histogram-Based likelihood
  • Experiments
  • Results
  • Anytime Behavior: % Correct
  • Directions Learning MoPPS Models
  • Structure and Parameter Learning
  • Speedup Learning
  • Active Model Calibration
  • Summary and Future Work
  • The OSU

Author: Alan Fern, Oregon State University

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Tags: Science, Lectures, Computer Science, VideoLectures.Net, Computer Vision