A Parametric Copula Based Framework for Multimodal Signal Processing

Abstract

We present a framework for the joint processing of multimodal data such as audio-video data streams. We first consider the problem of estimating the joint distribution of statistically dependent multimodal random variables. We discuss the issues involved and provide a copula based solution. Application of this approach to solve a multisensor fusion problem for the detection of a random event is also discussed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2010
Accession Number
ADA551435

Entities

People

  • Pramod Varshney
  • Satish G. Iyengar
  • Thyagaraju Damarla

Organizations

  • Syracuse University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Detectors
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Hypotheses
  • Information Science
  • Measurement
  • Military Research
  • Multisensors
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Signal Processing
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Computer Vision.
  • Regression Analysis.