The hybrid strategy contains the integral region computation, the coarse-to-fine and circular search, and mean shift optimisation. The integral region is much ...
Abstract—In this paper a particle swarm optimization based algorithm for object tracking in surveillance videos is proposed.
Missing: strategy. | Show results with:strategy.
When the calibration function is chosen to be a linear function of the ensemble variance, the generalized hybrid error covariance model is the widely used ...
Missing: tracking strategy.
Here one can use a hybrid strategy: first try a k-means clustering based on the Mahalanobis metric, and if that partitioning turns out to be imbalanced ...
Jul 14, 2021 · In this work, an improved covariance descriptor called the hybrid region covariance descriptor (HRCD) is proposed. The HRCD incorporates the ...
A fast hybrid algorithm combining regularized motion tracking and predictive search for reducing the occurrence of large displacement errors. IEEE Trans ...
Abstract. We present a method for recovering 3D human body motion from monocular video sequences using robust image matching, joint lim-.
Jul 17, 2024 · To optimize controlling parameters, a memory-based hybrid algorithm was used to reduce system running costs as well as active power loss in ...
Jul 14, 2021 · In this study, the authors applied a covariate shift framework to track geometry parameters before applying the dimension reduction techniques.
Missing: Region strategy.
Exploring equivalence domain in nonlinear inverse problems using ...
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Abstract. This paper presents a methodology to sample equivalence domain (ED) in nonlinear partial differential equation (PDE)-constrained inverse problems.