Study of Computational Structures for Multiobject Tracking Algorithms

Abstract

The structure and performance of multiobject tracking algorithms are heavily constrained by their current implementation on sequential computer architectures. Near-optimal algorithms, such as the track-oriented approach under investigation here, impose prohibitive requirements on sequential processors. These requirements force one to use near-optimal algorithms only in low target density environments and to employ faster but less optimal tracking algorithms in the more demanding high density situations. Identifying, enhancing, and exploiting the parallel computational structures in the near- optimal tracking algorithms potentially allows them to be applied to a wider range of scenarios. This report describes research undertaken to determine how parallel computer architectures might be utilized to implement sophisticated modern tracking algorithms which are beyond the capability of current sequential processing hardware.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA175247

Entities

People

  • Robert B. Washburn Jr.
  • Thomas G Allen
  • Thomas Kurien

Tags

Communities of Interest

  • C4I
  • Cyber
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Airborne Warning And Control System
  • Algorithms
  • Classification
  • Communication Channels
  • Computer Programming
  • Computers
  • Content Addressable Memory
  • Data Processing
  • Data Storage Systems
  • Databases
  • Detection
  • Detectors
  • Floating Point Operations
  • Image Processing
  • Parallel Computing
  • Parallel Processors
  • Processing Equipment

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design