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Proceedings Paper

Trackability in complex situations and environments
Author(s): Valentino Crespi; Yong Sheng; George Cybenko
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Paper Abstract

The concept of trackability is intimately related to the establishment of optimal trade-offs between the nosiness of the environment, due to poor sensing, and the randomness of the kinematics of the phenomena being examined, due to poor knowledge of their behaviors. Classically, a sensor system receives low level data in the form of numerical or analog signals and then through signal processing produces a high level observation suitable for a higher level state estimation process. These two phases may be further refined into a hierarchical chain of "tiers", where observations at each level are obtained through the computation of a set of properties of the system's estimated state at the lower level. An important factor that seems to have an impact on the overall ability to track high level phenomena in real time is the computational complexity of deciding those properties when generating observations between the tiers. And this complexity characterizes the accuracy of what can be computed within a bounded time frame. In this paper we intend to investigate the "real time" trackability of phenomena through the analysis of the complexity of individual models in relation to the computational complexity of computing observations in any multi-tiered tracking system.

Paper Details

Date Published: 19 May 2006
PDF: 9 pages
Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 62310U (19 May 2006); doi: 10.1117/12.670132
Show Author Affiliations
Valentino Crespi, California State Univ., Los Angeles (United States)
Yong Sheng, Dartmouth College (United States)
George Cybenko, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 6231:
Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII
Edward M. Carapezza, Editor(s)

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