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      • Department of Electrical and Electronics Engineering
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      Wavelet based detection of moving tree branches and leaves in video

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      Author
      Töreyin, B. Uğur
      Çetin, A. Enis
      Date
      2006-05
      Source Title
      Proceedings - IEEE International Symposium on Circuits and Systems
      Print ISSN
      0271-4310
      Publisher
      IEEE
      Pages
      931 - 934
      Language
      English
      Type
      Conference Paper
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      Abstract
      A method for detection of tree branches and leaves in video is proposed. It is observed that the motion vectors of tree branches and leaves exhibit random motion. On the other hand regular motion of green colored objects has well-defined directions. In this paper, the wavelet transform of motion vectors are computed and objects are classified according to the wavelet coefficients of motion vectors. Color information is also used to reduce the search space in a given image frame of the video. Motion trajectories of moving objects are modeled as Markovian processes and Hidden Markov Models (HMMs) are used to classify the green colored objects in the final step of the algorithm. © 2006 IEEE.
      Keywords
      Color image processing
      Feature extraction
      Hidden Markov models
      Motion estimation
      Vector quantization
      Wavelet transforms
      Color information
      Motion trajectories
      Motion vectors
      Wavelet based detection
      Image analysis
      Permalink
      http://hdl.handle.net/11693/27144
      Published Version (Please cite this version)
      https://doi.org/10.1109/ISCAS.2006.1692739
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      • Department of Electrical and Electronics Engineering 3524
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