Computational Problems in Image Analysis, Multiple Object Recognition, and Speech Recognition

Abstract

During the period of the grant, 2/1/93 - 1/15/95, we developed: (1) a Bayesian framework for object detection and tracking; the algorithm was successfully tested on real-data in the detection and tracking of vehicles on a highway: (2) a recognition algorithm based on stochastic hierarchical, context-free-grammars type, object representation; the study has required the development of feasible pruning techniques for dynamic programming; (3) a new acoustic model for speech recognition based on a wavelet representation of the acoustic-signal, and nonparametric prediction techniques.

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Document Details

Document Type
Technical Report
Publication Date
Apr 13, 1995
Accession Number
ADA295704

Entities

People

  • Basilis Gidas

Organizations

  • Brown University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • Automated Speech Recognition
  • Bayesian Networks
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Context Free Grammars
  • Detection
  • Dynamic Programming
  • Grammars
  • Image Processing
  • Models
  • Nonparametric Statistics
  • Object Recognition
  • Recognition

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML