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Human body pose detection using Bayesian spatio-temporal templates

Related publications (43)

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Unsupervised Extraction of Audio-Visual Objects

Pierre Vandergheynst, Anna Llagostera Casanovas

We propose a novel method to automatically detect and extract the video modality of the sound sources that are present in a scene. For this purpose, we first assess the synchrony between the moving objects captured with a video camera and the sounds record ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

On Pixel Detection Threshold in the Gigavision Camera

Martin Vetterli, Edoardo Charbon, Sabine Süsstrunk, Luciano Sbaiz, Feng Yang

Recently, we have proposed a new image device called gigavision camera whose most important characteristic is that pixels have binary response. The response function of a gigavision sensor is non-linear and similar to a logarithmic function, which makes th ...

2010

Video-Based Camera Tracking Using Rotation-Discriminative Template Matching

Touradj Ebrahimi

This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performance. Marker-based trackers can robustly recover camera position and ...

Springer2009

Workflow Monitoring based on Multi-view Reconstruction

Daniel Weinland

Activity recognition has primarily addressed the identification of either actions or well-defined interactions among objects in a scene. In this work, we extend the scope to the study of workflow monitoring. In a workflow, ordered groups of activities (pha ...

2009

Application of 3D range camera in virtual human-computer interfaces

Huan Du

In this work, we propose new ways to employ 3D-ranging systems in advanced human-computer interfaces and show that they can be used for precise hand-tracking systems aiming at virtual keyboard or mouse applications. We first implement a Structured Light (S ...

EPFL2008

Keypoint Signatures for Fast Learning and Recognition

Pascal Fua, Vincent Lepetit, Michael Calonder

Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the training itself is usually relatively slow and performed offline. Although methods hav ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Understanding Metro Station Usage using Closed Circuit Television Cameras Analysis

Jean-Marc Odobez

In this paper, we propose to show how video data available in standard CCTV transportation systems can represent a useful source of information for transportation infrastructure management, optimization and planning if adequately analyzed (e.g. to facilita ...

2008

understanding metro station usage using closed circuit television cameras analysis

Jean-Marc Odobez

IDIAP2008

Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps

Pascal Fua, François Fleuret, Jérôme Berclaz

We introduce a novel behavioral model to describe pedestrians motions, which is able to capture sophisticated motion patterns resulting from the mixture of different categories of random trajectories. Due to its simplicity, this model can be learned from v ...

2008

Spatio-temporal human pose detection

Miodrag Dimitrijevic

This thesis proposes a Chamfer-based method for human body pose detection that combines silhouette matching, motion information, and statistical relevance estimates in an original way. We demonstrate that our method can not only detect people but also reco ...

EPFL2007