Tracking Multiple People Online and in Real Time

Abstract

We cast the problem of tracking several people as a graph partitioning problem that takes the form of an NP-hard binary integer program. We propose a tractable, approximate, online solution through the combination of a multistage cascade and a sliding temporal window. Our experiments demonstrate significant accuracy improvement over the state of the art and real-time post-detection performance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 21, 2015
Accession Number
ADA631602

Entities

People

  • Carlo Tomasi
  • Ergys Ristani

Organizations

  • Duke University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Computational Complexity
  • Computer Science
  • Computer Vision
  • Computers
  • Data Association
  • Detection
  • Detectors
  • Errors
  • Multiple Targets
  • Multitarget Tracking
  • Person Tracking
  • Statistical Analysis
  • Surveillance
  • Target Tracking

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Operations Research
  • Sensor Fusion and Tracking Systems.