JOURNAL ARTICLE

<title>Midcourse multitarget tracking using continuous representation</title>

Michail ZakNikzad Toomarian

Year: 1991 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1481 Pages: 386-397   Publisher: SPIE

Abstract

The thrust of this paper is to present a new approach to multi-target tracking for the mid-course stage of the Strategic Defense Initiative (SDI). This approach is based upon a continuum representation of a cluster of flying objects. We assume that the velocities of the flying objects can be embedded into a smooth velocity field. This assumption is based upon the impossibility of encounters in a high density cluster between the flying objects. Therefore, the problem is reduced to an identification of a moving continuum based upon consecutive time frame observations. In contradistinction to the previous approaches, here each target is considered as a center of a small continuous neighborhood subjected to a local-affine transformation, and therefore, the target trajectories do not mix. Obviously, their mixture in plane of sensor view is apparent. The approach is illustrated by an example.

Keywords:
Impossibility Computer science Affine transformation Transformation (genetics) Representation (politics) Tracking (education) Cluster (spacecraft) Frame (networking) Computer vision Artificial intelligence Algorithm Mathematics Geometry Telecommunications

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Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Guidance and Control Systems
Physical Sciences →  Engineering →  Aerospace Engineering
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering

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