HMM based method for dynamic texture detection

B. Ugur Toreyin, A. Enis Cetin

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

A method for detection of dynamic textures in video is proposed. It is observed that the motion vectors of most of the dynamic textures (e.g. sea waves, swaying tree leaves and branches in the wind, etc.) exhibit random motion. On the other hand, regular motion of ordinary video objects has well-defined directions. In this paper, motion vectors of moving objects are estimated and tracked based on a minimum distance based metric. The direction of the motion vectors are then quantized to define two threestate Markov models corresponding to dynamic textures and ordinary moving objects with consistent directions. Hidden Markov Models (HMMs) are used to classify the moving objects in the final step of the algorithm.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2007 IEEE 15th Signal Processing and Communications Applications, SIU
DOI'lar
Yayın durumuYayınlandı - 2007
Harici olarak yayınlandıEvet
Etkinlik2007 IEEE 15th Signal Processing and Communications Applications, SIU - Eskisehir, Turkey
Süre: 11 Haz 200713 Haz 2007

Yayın serisi

Adı2007 IEEE 15th Signal Processing and Communications Applications, SIU

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???event.eventtypes.event.conference???2007 IEEE 15th Signal Processing and Communications Applications, SIU
Ülke/BölgeTurkey
ŞehirEskisehir
Periyot11/06/0713/06/07

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