Concept

Alarme anti-intrusion

Publications associées (37)

Exploiting Scene Cues for Dropped Object Detection

This paper presents a method for the automated detection of dropped objects in surveillance scenarios, which is a very important task for abandoned object detection. Our method works in single views and exploits prior information of the scene, such as geom ...

2014

Translation inhibition and metabolic stress pathways in the host response to bacterial pathogens

Bruno Lemaitre

Activation of most major innate immune signalling cascades relies on the detection of microorganisms or their associated danger signals by host pattern recognition molecules. A flurry of recent studies has now uncovered a role for host translation inhibiti ...

Nature Publishing Group2013

Evaluation of Visual privacy Filters Impact on Video Surveillance Intelligibility

Touradj Ebrahimi, Francesca De Simone

Since privacy issues are becoming important with growth of the video surveillance, many tools are proposed for protection of personal privacy in the video. However, little is understood regarding the effectiveness of such tools and their effect on the unde ...

2012

Evaluation and extension of an automated system to diagnose the health of premature babies

Camille Joggi

Premature babies are not fully equipped to deal with the outside world. Their immature bodies make them highly at risk to a large number of physiological complications. Therefore, while they are still immature, premature babies are taken care of in neonato ...

2011

Traffic Anomaly Detection and Diagnosis on the Network Flow Level

Marc Philippe Stöcklin

Monitoring traffic events in computer network has become a critical task for operators to maintain an accurate view of a network's condition, to detect emerging security threats, and to safeguard the availability of resources. Conditions detrimental to a n ...

EPFL2011

On Improving Face Detection Performance by Modelling Contextual Information

Sébastien Marcel, Cosmin Atanasoaei

In this paper we present a new method to enhance object detection by removing false alarms and merging multiple detections in a principled way with few parameters. The method models the output of an object classiï¬er which we consider as the context. A hie ...

Idiap2010

Keyword Detection for Spontaneous Speech

Hervé Bourlard, Aude Billard, Weifeng Li

This paper presents a system for keyword detection in spontaneous speech. Keywords are predefined through a set of acoustic examples provided by the users. Keyword detection proceeds in two steps: keyword searching and verification. To address the problem ...

2009

An adaptive freeway traffic state estimator

Real-data testing results of a real-time nonlinear freeway traffic state estimator are presented with a particular focus on its adaptive features. The pursued general approach to the real-time adaptive estimation of complete traffic state in freeway stretc ...

2009

Principled Detection-by-Classification from Multiple Views

Pascal Fua, François Fleuret, Jérôme Berclaz

Machine-learning based classification techniques have been shown to be effective at detecting objects in complex scenes. However, the final results are often obtained from the alarms produced by the classifiers through a post-processing which typically rel ...

2008

Principled Detection-by-classification from Multiple Views

Pascal Fua, François Fleuret, Jérôme Berclaz

Machine-learning based classification techniques have been shown to be effective at detecting objects in com- plex scenes. However, the final results are often obtained from the alarms produced by the classifiers through a post-processing which typically r ...

2008

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