A High-Speed Object Recognition Chip Based on a Biologically-Realistic Hybrid Temporal Processing

Abstract

This report traces the progress made by Intelligent Reasoning System, Inc. (IRSI) on contract N00014-93-C-0118, from June 1, 1993 to July 31, 1993. The technical objective of this Phase I effort is to evaluate the feasibility of a binocular object recognition system for the Integrated Active VISION System (INAVISIONS) currently under development at IRSI. The INAVISIONS is based on a custom Very Large Scale Integration (VLSI) Hybrid Temporal Processing Element (HTPE) developed by IRSI (patent pending). Active vision implies that the image collection and processing operations form a single, integrated, adaptive system in which high-level processes, such as object recognition can augment lower level processes through feedback connections and can itself be controlled by higher levels. For example, the object recognition process can instruct the oscillating saccadic perception system to enhance the image resolution by a particular amount to assit in the object recognition process. Higher level perception systems can guide the object recognition processes by using expectations of what objects might be present in the image. Therefore, the INAVISIONS behaves a single image collection and processing system with coupled low- and high-level capabilities.

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Document Details

Document Type
Technical Report
Publication Date
Aug 04, 1993
Accession Number
ADA268270

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Character Recognition
  • Coding
  • Computer Programming
  • Computer Vision
  • Computing System Architectures
  • Detection
  • Detectors
  • Feature Extraction
  • Filtration
  • Image Processing
  • Neural Networks
  • Object Recognition
  • Pattern Recognition
  • Simulators
  • Three Dimensional
  • Very Large Scale Integration
  • Voltage Controlled Oscillators

Readers

  • Artificial Intelligence
  • Computer Vision.
  • Integrated Circuit Design and Technology.