Applying both kinematic and attribute information for a target tracking algorithm

Yi-Nung Chung; Joy Chen

Applying both kinematic and attribute information for a target tracking algorithm

Yi-Nung Chung, Joy Chen

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	203-209
Number of pages	7
Journal	Journal of Control Systems and Technology
Volume	5
Issue number	3
Publication status	Published - 1997 Sep 1

All Science Journal Classification (ASJC) codes

Engineering(all)

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title = "Applying both kinematic and attribute information for a target tracking algorithm",

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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