An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams

Abstract

We introduce a view point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on a surface that can be locally approximated with a plane. Raw trajectory data is first locally approximated with a cubic spline via least squares fitting. For each sampled point of the obtained curve, a projective invariant feature is computed using a small number of points in its neighborhood. The resulting sequence of invariant features computed along the entire trajectory forms the view invariant descriptor of the trajectory itself. Time parameterization has been exploited to compute cross ratios without ambiguity due to point ordering.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA457405

Entities

People

  • Alberto Del Bimbo
  • Stan Sclaroff
  • Walter Nunziati

Organizations

  • Boston University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Science
  • Computer Vision
  • Distribution Functions
  • Gaussian Noise
  • Image Registration
  • Information Operations
  • Models
  • Noise
  • Object Recognition
  • Probability Density Functions
  • Recognition
  • Sequences
  • Time Intervals
  • Trajectories
  • Video

Fields of Study

  • Computer science
  • Physics

Readers

  • Approximation Theory.
  • Graph Algorithms and Convex Optimization.
  • Image Processing and Computer Vision.