Dynamic Vision for Control

Abstract

We have developed a comprehensive set of analytical and computational tools to exploit visual data for the purpose of control and interaction with complex, dynamic and uncertain environments. The accomplishment of the goals set forth in the original proposal was articulated into three parallel research tracks. (1) Tracking; focused on the establishment of correspondence of low-level statistics across temporal samples, including the development of representations that are invariant to local illumination changes, co-variant with respect to finite-dimensional group transformations, and insensitive to non-invertible transformations due to non-group deformations, partial occlusions etc.

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Document Details

Document Type
Technical Report
Publication Date
Feb 18, 2012
Accession Number
ADA567121

Entities

People

  • Stefano Soatto

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Boundaries
  • Change Detection
  • Computer Programming
  • Computer Vision
  • Data Analysis
  • Detection
  • Diagnostic Imaging
  • Failure Mode And Effect Analysis
  • Filtration
  • Information Science
  • Machine Learning
  • Optimization
  • Semi-Supervised Learning
  • Statistics
  • Supervised Machine Learning
  • Training

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis
  • Systems Analysis and Design