Výsledky vyhledávání - "2008 IEEE Conference on Computer Vision and Pattern Recognition"

2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, 23-28 June 2008 Autor IEEE Conference on Computer Vision and Pattern Recognition

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Learning realistic human actions from movies Autor Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.

“…The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has…”
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Visibility in bad weather from a single image Autor Tan, R.T.

“…Bad weather, such as fog and haze, can significantly degrade the visibility of a scene. Optically, this is due to the substantial presence of particles in the…”
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Privacy preserving crowd monitoring: Counting people without people models or tracking Autor Chan, A.B., Liang, Z.-S.J., Vasconcelos, N.

“…We present a privacy-preserving system for estimating the size of inhomogeneous crowds, composed of pedestrians that travel in different directions, without…”
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Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition Autor Rodriguez, M.D., Ahmed, J., Shah, M.

“…In this paper we introduce a template-based method for recognizing human actions called action MACH. Our approach is based on a maximum average correlation…”
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In defense of Nearest-Neighbor based image classification Autor Boiman, O., Shechtman, E., Irani, M.

“…State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric…”
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People-tracking-by-detection and people-detection-by-tracking Autor Andriluka, M., Roth, S., Schiele, B.

“…Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated…”
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Progressive search space reduction for human pose estimation Autor Ferrari, V., Marin-Jimenez, M., Zisserman, A.

“…The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is…”
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Enforcing convexity for improved alignment with constrained local models Autor Yang Wang, Lucey, Simon, Cohn, Jeffrey F.

“…Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/ tracking in comparison to leading holistic…”
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Nonlinear image representation using divisive normalization Autor Siwei Lyu, Simoncelli, Eero P.

“…In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of…”
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Least squares congealing for unsupervised alignment of images Autor Cox, Mark, Sridharan, Sridha, Lucey, Simon, Cohn, Jeffrey

“…In this paper, we present an approach we refer to as ldquoleast squares congealingrdquo which provides a solution to the problem of aligning an ensemble of…”
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Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration Autor Mateus, Diana, Horaud, Radu, Knossow, David, Cuzzolin, Fabio, Boyer, Edmond

“…Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph…”
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Correlational spectral clustering Autor Blaschko, M.B., Lampert, C.H.

“…We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering…”
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Viewpoint-independent object class detection using 3D Feature Maps Autor Liebelt, J., Schmid, C., Schertler, K.

“…This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine…”
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Action recognition using exemplar-based embedding Autor Weinland, D., Boyer, E.

“…In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model…”
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Sequential particle swarm optimization for visual tracking Autor Xiaoqin Zhang, Weiming Hu, Maybank, S., Xi Li, Mingliang Zhu

“…Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new…”
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Visual tracking via incremental Log-Euclidean Riemannian subspace learning Autor Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng

“…Recently, a novel Log-Euclidean Riemannian metric is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and…”
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Segmentation by transduction Autor Duchenne, Olivier, Audibert, Jean-Yves, Keriven, Renaud, Ponce, Jean, Segonne, Florent

“…This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view…”
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Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive Scale Kernel Consensus estimator Autor Wang, Hanzi, Mirota, Daniel, Ishii, Masaru, Hager, Gregory D.

“…To correctly estimate the camera motion parameters and reconstruct the structure of the surrounding tissues from endoscopic image sequences, we need not only…”
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Local minima free Parameterized Appearance Models Autor Minh Hoai Nguyen, De la Torre, Fernando

“…Parameterized appearance models (PAMs) (e.g. eigen-tracking, active appearance models, morphable models) are commonly used to model the appearance and shape…”
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