Extended Object Tracking and Shape Classification

Tuncer B., Kumru M., Alatan A. A., Özkan E.

21st International Conference on Information Fusion (FUSION), Cambridge, Kanada, 10 - 13 Temmuz 2018, ss.267-274 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.23919/icif.2018.8455464
  • Basıldığı Şehir: Cambridge
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.267-274
  • Anahtar Kelimeler: Extended Target Tracking, Contour representation, Shape-based Classification, Gaussian Process, Bayesian, Classification, Learning, TARGET TRACKING, FOURIER, RECOGNITION
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Recent extended target tracking algorithms provide reliable shape estimates while tracking objects. The estimated extent of the objects can also be used for online classification. In this work, we propose to use a Bayesian classifier to identify different objects based on their contour estimates during tracking. The proposed method uses the uncertainty information provided by the estimation covariance of the tracker.