Applying both kinematic and attribute information for a target tracking algorithm

Yi-Nung Chung, Joy Chen

研究成果: Article同行評審

4 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)203-209
頁數7
期刊Journal of Control Systems and Technology
5
發行號3
出版狀態Published - 1997 九月 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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