Optical Flow from 1D Correlation: Application to a Simple Time-to-Crash Detector

Abstract

A new technique exploiting 1D correlation of 2D or even 1D patches between successive frames may be sufficient to compute an estimation of optical flow field. Sparse measurements are used to computer qualitative properties of the flow for different visual tasks. We can combine our technique with a scheme for detecting expansion or rotation in an algorithm which suggests interesting biological implications. The algorithm provides a rough estimate of time-to- crash. It is well-suited for VLSI implementations. It was tested on real image sequences. We show its performance and compare the results to previous approaches.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA276777

Entities

People

  • Nicola Ancona
  • Tomaso Poggio

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Cognitive Science
  • Computational Complexity
  • Correlation Techniques
  • Detectors
  • Filtration
  • Flow
  • Flow Fields
  • Massachusetts
  • Measurement
  • Motion Detectors
  • Rotation
  • Sequences
  • Standards
  • Two Dimensional

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Plasma Physics.