The Measurement of Visual Motion.

Abstract

The analysis of visual motion divides naturally into two stages: the first is the measurement of motion, for example, the assignment of direction and magnitude of velocity to elements in the image, on the basis of the changing intensity pattern; the second is the use of motion measurements, for example, to separate the scene into distinct objects, and infer their three-dimensional structure. In this paper, we present a computational study of the measurement of motion. Similar to other visual processes, the motion of elements is not determined uniquely by information in the changing image; additional constraint is required to compute a unique velocity filed. Given this global ambiguity of motion. Local measurements from the changing image, such as those provided by directionally-selective simple cells in primate visual cortex, cannot possibly specify a unique local velocity vector, and in fact, specify only one component of velocity. Computation of the full two-dimensional velocity field requires the integration of local motion measurements, either over an area, or along contours in the image. We will examine possible algorithms for computing motion, based on a range of additional constraints. Finally, we will present implications for the biological computation of motion.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA128398

Entities

People

  • Ellen C. Hildreth
  • Shimon Ullman

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Ambiguity
  • Artificial Intelligence
  • Computations
  • Computer Vision
  • Cross Correlation
  • Detection
  • Detectors
  • Information Processing
  • Intensity
  • Massachusetts
  • Measurement
  • Military Research
  • Stratified Fluids
  • Three Dimensional
  • Two Dimensional
  • Visual Cortex

Readers

  • Control Systems Engineering.
  • Image Processing and Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms