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[PDF][PDF] A frequency based hierarchical fast search block matching algorithm for fast video communication
Numerous fast-search block motion estimation algorithms have been developed to
circumvent the high computational cost required by the full-search algorithm. These …
circumvent the high computational cost required by the full-search algorithm. These …
Fuzzy image processing and recognition: uncertainty handling and applications
Image processing and analysis in fuzzy set theoretic framework is addressed. Various
uncertainties involved in these problems and the relevance of fuzzy set theory in handling …
uncertainties involved in these problems and the relevance of fuzzy set theory in handling …
Estimation of time-varying velocities of moving objects by time-frequency representations
An approach to the estimation of motion parameters of moving objects in a video-sequence,
by using the SLIDE (subspace-based line detection algorithm) algorithm, is considered. The …
by using the SLIDE (subspace-based line detection algorithm) algorithm, is considered. The …
Motion analysis using 3D high-resolution frequency analysis
T Ueda, K Fujii, S Hirobayashi… - … on Image Processing, 2012 - ieeexplore.ieee.org
The spatiotemporal spectra of a video that contains a moving object form a plane in the 3D
frequency domain. This plane, which is described as the theoretical motion plane, reflects …
frequency domain. This plane, which is described as the theoretical motion plane, reflects …
Estimation of multiple accelerated motions using chirp-Fourier transform and clustering
Motion estimation in the spatiotemporal domain has been extensively studied and many
methodologies have been proposed, which, however, cannot handle both time-varying and …
methodologies have been proposed, which, however, cannot handle both time-varying and …
Model-based clustering based on variational learning of hierarchical infinite beta-liouville mixture models
In this work, we develop a statistical framework for data clustering which uses hierarchical
Dirichlet processes and Beta-Liouville distributions. The parameters of this framework are …
Dirichlet processes and Beta-Liouville distributions. The parameters of this framework are …
Integration of frequency and space for multiple motion estimation and shape-independent object segmentation
A video containing multiple objects undergoing independent translational and rotational
motions is analyzed through a combination of spatial-and frequency-domain …
motions is analyzed through a combination of spatial-and frequency-domain …
Velocity and acceleration estimation in video sequences by the local polynomial periodogram
Motion parameters estimation is performed by using the local polynomial periodogram. The
presented method provides the estimation of velocity and acceleration, simultaneously. It is …
presented method provides the estimation of velocity and acceleration, simultaneously. It is …
Motion parameters estimation by new propagation approach and time–frequency representations
Estimation of time-varying motion parameters of moving objects is considered. The motion
parameters are mapped into the instantaneous frequency (IF) of a frequency modulated …
parameters are mapped into the instantaneous frequency (IF) of a frequency modulated …
Estimation of multiple, time-varying motions using time-frequency representations and moving-objects segmentation
We extend existing spatiotemporal approaches to handle time-varying motions estimation of
multiple objects. It is shown that multiple, time-varying motions estimation is equivalent to the …
multiple objects. It is shown that multiple, time-varying motions estimation is equivalent to the …