Quarterly Report for 2/25/2006-05/24/2006

Abstract

This research effort is focusing on development of adaptive sensing algorithms for asymmetric threats. The algorithms are particularly targeted towards use with data from multi-camera video surveillance systems. We are not attempting to model the infinite class of asymmetric targets, since these are generally unpredictable and therefore limited if any a priori sensor data are available for these threats. Rather, we model normal or typical behavior using statistical algorithms. Key challenges that are being addressed in the current effort: * Statistical characterization of background events * Tracking of foreground objects * Statistical characterization of object dynamics (via HMMs), in the presence of occlusions and uncertainty of object pose and motion *Multi-aspect, multi-camera target recognition.

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Document Details

Document Type
Technical Report
Publication Date
May 25, 2006
Accession Number
ADA449189

Entities

Organizations

  • Signal Innovations Group, Inc.

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Cameras
  • Computational Science
  • Databases
  • Detection
  • Detectors
  • Hidden Markov Models
  • Images
  • Information Science
  • Models
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Target Recognition
  • Target Signatures

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Systems Analysis and Design