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Jean-Marc Odobez

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Related publications (77)

Page 3 of 4

Exploiting Long-Term Connectivity and Visual Motion in CRF-based Multi-Person Tracking

Jean-Marc Odobez, Alexandre Heili

We present a conditional random field approach to tracking-by-detection in which we model pairwise factors linking pairs of detections and their hidden labels, as well as higher order potentials defined in terms of label costs. To the contrary of previous ...

2014

Embedding Motion in Model-Based Stochastic Tracking

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

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

2006

Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network

Jean-Marc Odobez, Petr Motlicek, Weipeng He

We propose a novel multi-task neural network-based approach for joint sound source localization and speech/non-speech classification in noisy environments. The network takes raw short time Fourier transform as input and outputs the likelihood values for th ...

ISCA-INT SPEECH COMMUNICATION ASSOC2018

Analyzing ancient Maya glyph collections with Contextual Shape Descriptors

Daniel Gatica-Perez, Jean-Marc Odobez, Edgar Roman Rangel

This paper presents an original approach for shape-based analysis of ancient Maya hieroglyphs based on an interdisciplinary collaboration between computer vision and archaeology. Our work is guided by realistic needs of archaeologists and scholars who crit ...

Springer US2011

Observation of Vehicle Axles Through Pass-by Noise: A Strategy of Microphone Array Design

Hervé Lissek, Jean-Marc Odobez, Xavier Falourd, Patrick Marmaroli

This paper focuses on road traffic monitoring using sounds and proposes, more specifically, a microphone array design methodology for observing vehicle trajectory from acoustic-based correlation functions. In a former work, authors have shown that combinin ...

IEEE Institute of Electrical and Electronics Engineers2013

A Unified Model for Gaze Following and Social Gaze Prediction

Naravich Chutisilp, Jean-Marc Odobez, Anshul Gupta, Samy Tafasca

Human gaze plays a crucial role in communication and social interaction. Many recent studies have focused on predicting the 2D pixel location of a person's gaze target in an image. However, this approach has limitations when it comes to studying gaze for d ...

IEEE2024

WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

We propose a deep-learning approach for people detection on depth imagery. The approach is designed to be deployed as an autonomous appliance for identifying people attacks and intrusion in video surveillance scenarios. To this end, we propose a fully-conv ...

IEEE2018

Pass-by noise acoustic sensing for estimating speed and wheelbase length of two-axle vehicles

Hervé Lissek, Jean-Marc Odobez, Xavier Falourd, Patrick Marmaroli

This paper focuses on acoustic road traffic monitoring and looks, more specifically, into the problem of speed and wheelbase length estimation of two-axle vehicles as they pass by. It is known that both front and rear axle trajectories may be dissociated u ...

2013

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Jean-Marc Odobez, Olivier Canévet

We propose a head pose estimation framework that leverages on a recent keypoint detection model. More specifically, we apply the convolutional pose machines (CPMs) to input images, extract different types of facial keypoint features capturing appearance in ...

IEEE2018

CCDb-HG: Novel Annotations and Gaze-Aware Representations for Head Gesture Recognition

Pierre François Marie Vuillecard, Jean-Marc Odobez, Arya Farkhondeh

Despite remarkable progress in various human behavior perception tasks, head gesture recognition (HGR) has received limited attention in terms of datasets, benchmarks, and methods. In this work, we aim to address this gap and make two main contributions. F ...

IEEE2024

Tracking the visual focus of attention for a varying number of wandering people

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

In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W) -- determining where a person is looking when their movement is unconstrained. VFOA-W estimation is a new and impo ...

2008

Monte Carlo Video Text Segmentation

Jean-Philippe Thiran, Jean-Marc Odobez, Datong Chen

This paper presents a probabilistic algorithm for segmenting and recognizing text embedded in video sequences based on adaptive thresholding using a Bayes filtering method. The algorithm approximates the posterior distribution of segmentation thresholds of ...

2005

ManiGaze: a Dataset for Evaluating Remote Gaze Estimator in Object Manipulation Situations

Jean-Marc Odobez, Rémy Alain Siegfried

Gaze estimation allows robots to better understand users and thus to more precisely meet their needs. In this paper, we are interested in gaze sensing for analyzing collaborative tasks and manipulation behaviors in human-robot interactions (HRI), which dif ...

ACM2020

Short-Term Spatio-Temporal Clustering Applied to Multiple Moving Speakers

Jean-Marc Odobez, Guillaume Lathoud

Distant microphones permit to process spontaneous multi-party speech with very little constraints on speakers, as opposed to close-talking microphones. Minimizing the constraints on speakers permits a large diversity of applications, including meeting summ ...

2007

Towards building an attentive artificial listener: on the perception of attentiveness in audio-visual feedback tokens

Jean-Marc Odobez, Yu Yu, Catharine Regina Monika Maria Oertel Genannt Bierbach, Kenneth Alberto Funes Mora

Current dialogue systems typically lack a variation of audio-visual feedback tokens. Either they do not encompass feedback tokens at all, or only support a limited set of stereotypical functions. However, this does not mirror the subtleties of spontaneous ...

ACM2016

Multi-task Neural Network for Robust Multiple Speaker Embedding Extraction

Jean-Marc Odobez, Petr Motlicek, Weipeng He

This paper introduces a novel approach for extracting speaker embeddings from audio mixtures of multiple overlapping voices. This approach is based on a multi-task neural network. The network first extracts a latent feature for each direction. This feature ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Leveraging Colour Segmentation for Upper-Body Detection

Jean-Marc Odobez

This paper presents an upper-body detection algorithm that extends classical shape-based detectors through the use of additional semantic colour segmentation cues. More precisely, candidate upper-body image patches produced by a base detector are soft-segm ...

2014

Robust and Accurate 3D Head Pose Estimation through 3DMM and Online Head Model Reconstruction

Jean-Marc Odobez, Yu Yu, Kenneth Alberto Funes Mora

Accurate and robust 3D head pose estimation is important for face related analysis. Though high accuracy has been achieved by previous works based on 3D morphable model (3DMM), their performance drops with extreme head poses because such models usually onl ...

Ieee2017

Investigating the midline effect for visual focus of attention recognition

Jean-Marc Odobez, Samira Sheikhi

This paper addresses the recognition of people’s visual focus of attention (VFOA), the discrete version of gaze indicating who is looking at whom or what. In absence of high def- inition images, we rely on people’s head pose to recognize the VFOA. To the c ...

ACM2012

Towards large scale multimedia indexing

Jean-Marc Odobez

The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery in the absence of prior identity knowl ...

2017