Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples with minimal reconstruction errors from learned template subspace. However, the computational cost makes it unsuitable

Object tracking is the process of determining the states of a target in consecutive video frames based on properties of motion and appearance consistency. In this paper, we propose a consistent low-rank sparse tracker (CLRST) that builds upon the particle filter framework for tracking

grouped blocks. This …ltering— that we term “collaborative …ltering” — exploits the correlation between grouped blocks and the corresponding highly sparse representation of the true signal in the transform domain. Since, in general, the obtained block estimates are mutually overlapping, we aggregate them

Abstract. The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot represent simultaneous alternative hypotheses. The Condensation algorithm uses "factored sampling

Abstract By assuming that images of interest can be sparsely modelled by some transform, the sparsity-based regularization has been one promising approach for solving many ill-posed inverse problems in image recovery. One often-used type of systems for sparsifying images is wavelet tight frames

In this paper we propose a new examplar-based approach to recover 3D human poses from monocular images. Given the visual feature of each frame, pose retrieval is first conducted in the examplar database to find relevant pose candidates. Then, dynamic programming is applied on the weighted set

reliable, low-cost monitoring of migratory species. The developed multi-tier architecture yields ecologists with unconventional behavior in-formation not furnished by alternative tracking systems at such a large scale and for a low-cost. The simulation, development and implementation of the Crane

ABSTRACT Discrete manufacturing companies practicing distributed product development encounter challenges creating digital products, collaborating cross functionally in an organization and throughout the value chain, and controlling and managing product information and product development

nv c, neti me 8, U Sparse representation Non-convex optimization s si the ng W proposed. It has better performance in preserving image edges than conventional sparsifying transforms. are presented in the smooth region when the data are highly undersampled. In RI) is ical str

size, sampling complexity, dictionary identification, minimisation criterion, sparse representation 1