Publication

A Comparative Study of Time Delay Estimation Techniques for Road Vehicle Tracking

Related publications (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Likelihood estimation of the extremal index

Mária Süveges

The article develops the approach of Ferro and Segers (2003) to the estimation of the extremal index, and proposes the use of a new variable decreasing the bias of the likelihood based on the point process character of the exceedances. Two estimators are d ...

Springer, Springer US; http://www.springer-ny.com2007

Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition

Andrzej Drygajlo

In this contribution, the Bayesian framework for interpretation of evidence when applied to forensic speaker recognition is introduced. Different aspects of the use of voice as evidence in the court are addressed, as well as the use by the forensic expert ...

2006

Adaptive cooperation between driver and assistant system to improve the road safety

Frédéric Holzmann

The last decades have seen the most important improvements of the safety on the road. But most of the accidents are still coming from the driver when a source of danger is not noticed or when the reaction is not correct during an unusual situation. Two way ...

EPFL2006

A Lane Detection Vision Module for Driver Assistance

Roland Siegwart, Sascha Kolski

A driver support system should provide assistance and security to the driver. For navigaton tasks it is neccessary to determine position of the ego vehicle relative to the road. One of the principal approaches is to detect road boundaries and lanes using a ...

2004

General state-space models

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004

Conditional Gaussian Mixtures

I show how conditional Gaussians, whose means are conditioned by a random variable, can be estimated and their likelihoods computed. This is based upon how regular Gaussians have their own parameters and likelihood computed. After explaining how to estimat ...

IDIAP2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filters are now established as the most popular method for visual tracking. Within this framework, it is generally assumed that the data are temporally independent given the sequence of object states. In this paper, we argue that in general the da ...

IDIAP2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Springer Verlag2003

Improved Unknown-Multiple Speaker clustering using HMM

Hervé Bourlard, Jitendra Ajmera

In this report, we build up on our previous work on speaker clustering, where the number of speakers and segmentation boundaries are unknown a priori. We employ an ergodic HMM with minimum duration topology for this purpose. Starting from a large number of ...

IDIAP2002

Penalized Maximum Likelihood Estimation for univariate normal mixture distributions

Andrea Ridolfi

Due to singularities of the likelihood function, the maximum likelihood approach for the estimation of the parameters of normal mixture models is an acknowledged ill posed optimization problem. Ill posedness is solved by penalizing the likelihood function. ...

2001