Publications de Murat Kunt | EPFL Graph Search

Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras

Michel Bierlaire, Pierre Vandergheynst, Murat Kunt, Alexandre Massoud Alahi

Most of the multi-camera systems assume a well structured environment to detect and match objects across cameras. Cameras need to be fixed and calibrated. In this work, a novel system is presented to detect and match any objects in a network of uncalibrate ...

Elsevier2010

A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras

Michel Bierlaire, Pierre Vandergheynst, Murat Kunt, Alexandre Massoud Alahi

Most multi-camera systems assume a well structured environment to detect and match objects across cameras. Cameras need to be fixed and calibrated. In this work, a novel system is presented to detect and match any objects in a network of uncalibrated fixed ...

2009

Extraction of audio features specific to speech production for multimodal speaker detection

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...

2008

A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi

Typical object detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distribution, and behavior affect the robustness of the detection process. In general, ...

2008

Object Detection and Matching in a Mixed Network of Fixed and Mobile Cameras

Michel Bierlaire, Pierre Vandergheynst, Murat Kunt, Alexandre Massoud Alahi

This work tackles the challenge of detecting and matching objects in scenes observed simultaneously by fixed and mobile cameras. No calibration between the cameras is needed, and no training data is used. A fully automated system is presented to detect if ...

2008

Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi

A system is presented to detect and match any objects with mobile cameras collaborating with fixed cameras observing the same scene. No training data is needed. Various object descriptors are studied based on grids of region descriptors. Region descriptors ...

2008

Combination of Fixed and Mobile Cameras for Automatic Pedestrian Detection

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi

Pedestrian detection in the surroundings of a vehicle is highly desirable to avoid dangerous traffic situations. Typical vision-based pedestrian detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. ...

2008

Differential Evolution applied to a multimodal information theoretic optimization problem

Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local mi ...

2006

Extraction of Audio Features Specific to Speech using Information Theory and Differential Evolution

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

We present a method that exploits an information theoretic framework to extract optimized audio features using the video information. A simple measure of mutual information (MI) between the resulting audio features and the video ones allows to detect the a ...

2005

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Murat Kunt

Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras

A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras

Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection

Extraction of audio features specific to speech production for multimodal speaker detection

A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras

Object Detection and Matching in a Mixed Network of Fixed and Mobile Cameras

Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras

Combination of Fixed and Mobile Cameras for Automatic Pedestrian Detection

Differential Evolution applied to a multimodal information theoretic optimization problem

Extraction of Audio Features Specific to Speech using Information Theory and Differential Evolution

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Chattez avec Graph Search

Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras

Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection

A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras

Object Detection and Matching in a Mixed Network of Fixed and Mobile Cameras

Extraction of audio features specific to speech production for multimodal speaker detection

Extraction of Audio Features Specific to Speech using Information Theory and Differential Evolution

Combination of Fixed and Mobile Cameras for Automatic Pedestrian Detection

A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras

Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras

Differential Evolution applied to a multimodal information theoretic optimization problem