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Re-identification of Pedestrians in Crowds Using Dynamic Time Warping
This paper presents a new tracking algorithm to solve on-line the 'Tag and Track' problem in a crowded scene with a network of CCTV Pan, Tilt and Zoom (PTZ) cameras. The dataset is very challengingExpand
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MicroFilament Analyzer, an image analysis tool for quantifying fibrillar orientation, reveals changes in microtubule organization during gravitropism.
Image acquisition is an important step in the study of cytoskeleton organization. As visual interpretations and manual measurements of digital images are prone to errors and require a great amount ofExpand
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Identification of genes involved in the ACC-mediated control of root cell elongation in Arabidopsis thaliana
BackgroundAlong the root axis of Arabidopsis thaliana, cells pass through different developmental stages. In the apical meristem repeated cycles of division increase the numbers of cells. UponExpand
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View and Style-Independent Action Manifolds for Human Activity Recognition
We introduce a novel approach to automatically learn intuitive and compact descriptors of human body motions for activity recognition. Each action descriptor is produced, first, by applying TemporalExpand
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Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series
A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach, temporal informationExpand
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Re-identification of pedestrians with variable occlusion and scale
This paper presents results from experiments designed to measure the accuracy with which people can be reidentified using multiple visual surveillance observations. Two public data sets are used:Expand
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Generalized Laplacian Eigenmaps for Modeling and Tracking Human Motions
This paper presents generalized Laplacian eigenmaps, a novel dimensionality reduction approach designed to address stylistic variations in time series. It generates compact and coherent continuousExpand
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Human pose tracking in low dimensional space enhanced by limb correction
This paper proposes a two-level 3D human pose tracking method for a specific action captured by several cameras. The generation of pose estimates relies on fitting a 3D articulated model on a VisualExpand
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Structural Laplacian Eigenmaps for Modeling Sets of Multivariate Sequences
A novel embedding-based dimensionality reduction approach, called structural Laplacian Eigenmaps, is proposed to learn models representing any concept that can be defined by a set of multivariateExpand
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Are Current Monocular Computer Vision Systems for Human Action Recognition Suitable for Visual Surveillance Applications?
Since video recording devices have become ubiquitous, the automated analysis of human activity from a single uncalibrated video has become an essential area of research in visual surveillance.Expand
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