제어로봇시스템학회:학술대회논문집
- 1999.10a
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- Pages.206-209
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- 1999
A Study on Target-Tracking Algorithm using Fuzzy-Logic
- Kim, Byeong-Il (Interdisciplinary program in Mechatronics, Pusan Nat′l Univ.) ;
- Yoon, Young-Jin (Dept. of intelligence and mechanical systems Pusan Nat′l Univ.) ;
- Won, Tae-Hyun (Dongeui Institute of Technology Pusanjin Ku) ;
- Bae, Jong-Il (Pukyung Nat′l Univ.) ;
- Lee, Man-Hyung (Pusan Nat′l Univ.)
- Published : 1999.10.01
Abstract
Conventional target tracking techniques are primarily based on Kalman filtering or probabilistic data association(PDA). But it is difficult to perform well under a high cluttered tracking environment because of the difficulty of measurement, the problem of mathematical simplification and the difficulty of combined target detection for tracking association problem. This paper deals with an analysis of target tracking problem using fuzzy-logic theory, and determines fuzzy rules used by a fuzzy tracker, and designs the fuzzy tracker by using fuzzy rules and Kalman filtering.
Keywords