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Author

Yang, Seungjoon
Signal Processing Lab (SPL)
Research Interests
  • Statistical signal processing, multi-rate systems, image/video processing, computer vision

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Particle Filtering Based Estimation of Consistent Motion and Disparity with Reduced Search Points

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Title
Particle Filtering Based Estimation of Consistent Motion and Disparity with Reduced Search Points
Author
Yang, Seungjoon
Keywords
3-D recursive search; Bayesian tracking; Block index; Estimation methods; Fast search method; Joint estimation; Particle filter; particle filtering; Search spaces; Stereo video sequences; Video sequences; View generation
Issue Date
201201
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.22, no.1, pp.91 - 104
Abstract
A particle filtering based block-wise estimation method for estimation of motion in a video sequence and joint estimation of disparity and motion in a stereo video sequence is proposed. Parameters of motion and disparity of a block in a sequence are defined as a state, and evolution of the state with respect to the block index is tracked with particle filtering. The state is assumed to be dependent on the states of neighboring blocks. Estimated motion and disparity fields are consistent and suitable for intermediate frame or view generation. The particle filter provides a method to effectively sample the search space. The particles are concentrated in regions where the probability density function for the state has large values. Hence, the locations of the particles are good candidates for search points of a fast search method. The proposed method can estimate motion and disparity with a fraction of search points necessary for conventional estimation methods.
URI
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DOI
http://dx.doi.org/10.1109/TCSVT.2011.2158339
ISSN
1051-8215
Appears in Collections:
ECE_Journal Papers

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