Multiscale Path Metrics for the Analysis of Discrete Geometric Structures

Abstract

The objective of this research is to model the topological and combinatorial structure of realistic data such as video that captures moving objects (pedestrians, vehicles, marine vessels) in the context of recognition, tracking, and classification tasks. Each data item (for instance, an image of a handwritten digit, or the bounding box around the image of an observation target in one video frame) is viewed as a point in an abstract space, and the main thrust of this research is to model the topology, geometry, and combinatorics of the sets that result from collecting many points like these from data recordings.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 30, 2017
Accession Number
AD1051617

Entities

People

  • Carlo Tomasi

Organizations

  • Duke University

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Science
  • Computers
  • Data Sets
  • Geometry
  • Identities
  • Linear Programming
  • Multitarget Tracking
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Standards
  • Students
  • Target Tracking
  • Teamwork
  • Topology

Readers

  • Neural Network Machine Learning.
  • Operations Research
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects