Applying both kinematic and attribute information for a target tracking algorithm

Y. N. Chung, Joy Chen

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A multi-sensor data fusion algorithm is developed in this paper, which combines a decentralized estimation approach together with image processing to obtain target attribute information. A neural network algorithm is applied to solve the problem of obtaining target attribute information. The major advantage of this fusion technique is that it uses data from several kinds of sensors to obtain better target measurement information and a more accurate estimation.

Original languageEnglish
Pages (from-to)203-209
Number of pages7
JournalJournal of Control Systems and Technology
Volume5
Issue number3
Publication statusPublished - 1997 Sep 1

Fingerprint

Target tracking
Kinematics
Sensor data fusion
Image processing
Fusion reactions
Neural networks
Sensors

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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abstract = "A multi-sensor data fusion algorithm is developed in this paper, which combines a decentralized estimation approach together with image processing to obtain target attribute information. A neural network algorithm is applied to solve the problem of obtaining target attribute information. The major advantage of this fusion technique is that it uses data from several kinds of sensors to obtain better target measurement information and a more accurate estimation.",
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Applying both kinematic and attribute information for a target tracking algorithm. / Chung, Y. N.; Chen, Joy.

In: Journal of Control Systems and Technology, Vol. 5, No. 3, 01.09.1997, p. 203-209.

Research output: Contribution to journalArticle

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