Computation of association probabilities with the use of adaptive neuro-fuzzy inference system for multi-target tracking

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Atıf İçin Kopyala

TÜRKMEN I., Guney K.

ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, cilt.15, sa.4, ss.213-223, 2007 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 15 Sayı: 4
• Basım Tarihi: 2007
• Dergi Adı: ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
• Sayfa Sayıları: ss.213-223
• Erciyes Üniversitesi Adresli: Evet

Özet

This paper presents a new method based on the adaptive neuro-fuzzy inference system (ANFIS) to compute accurately the association probabilities. The computed association probabilities are used to find the combined innovation. The estimated states of the targets are determined from the Kalman filter equations. The tracks estimated by using the new method for the multiple targets in the cluttered and noncluttered environments are in good agreement with the true tracks.