Bernard Boulay, Ph.D.

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2011

Peer-reviewed conference/proceedings

Titre
Group interaction and group tracking for video-surveillance in underground railway stations
Auteurs
Sofia Zaidenberg; Bernard Boulay; Carolina Garate; Duc Phu Chau; Etienne Corvee; Francois Bremond
Détail
International Workshop on Behaviour Analysis and Video Understanding (ICVS 2011), Sep 2011, Sophia Antipolis, France. pp. 10
Début du résumé
In this paper we propose an approach to recognize behaviors of groups of people in the subway. Violent behavior or vandalism performed by a group can be detected in order to alert subway security. The proposed system is composed of 3 main layers: the detection of people in the video, the detection and tracking of groups among the detected individuals and the detection of events and scenarios of interest based on tracked actors (groups). The main focus of this paper are the group tracking and event detection layers. .....
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Finalversion_Group_interaction_and_group_tracking.pdf BibTex
Titre
Abnormal behavior detection in video protection systems
Auteurs
Luis Patino; Hamid Benhadda; Nedra Nefzi; Bernard Boulay; François Bremond; Monique Thonnat
Détail
International Workshop on Behaviour Analysis and Video Understanding (ICVS 2011), Sep 2011, Sophia Antipolis, France. pp. 12
Début du résumé
In this work we present a system to extract in an unsu- pervised manner the main activities that can be observed by a camera monitoring a scene on the long-term and with the ultimate aim to discover abnormal events. To allow for semantically interpretable results, the activities are characterised by referring them to contextual elements of the observed scene. By contextual elements, we understand activity areas such as building entrances, people meeting areas, road areas,...etc. The system thus stars in a first step by the unsupervised learning of the main activity areas of the scene. We employ trajectory-based analysis of .....
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Finalversion_Abnormal_behavior_detection_in_video_protection.pdf BibTex
Titre
Probabilistic Recognition of Complex Event
Auteurs
Rim Romdhane; Francois Bremond; Bernard Boulay; Monique Thonnat
Détail
ICVS 2011, Sep 2011, sophia antipolis, France.
Début du résumé
Abstract. This paper describes a complex event recognition approach with probabilistic reasoning for handling uncertainty. The first advantage of the proposed approach is the flexibility of the modeling of composite events with complex temporal constraints. The second advantage is the use of probability theory providing a consistent framework for dealing with uncertain knowledge for the recognition of complex events. The experimental results show that our system can successfully improve the event recognition rate. We conclude by comparing our algorithm with the state of the art and showing how the definition of event models and the probabilistic reasoning can influence the .....
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icvs2011.pdf BibTex

2008

Peer-reviewed conference/proceedings

Titre
Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures
Auteurs
Nadia Zouba; Bernard Boulay; François Brémond; Monique Thonnat
Détail
Barbara Caputo, Markus Vincze. International Cognitive Vision Workshop, May 2008, Santorini, Greece. Springer Berlin / Heidelberg, 5329, pp. 37-50, Lecture notes in computer science
Début du résumé
This paper presents a cognitive vision approach to recognize a set of interesting activities of daily living (ADLs) for elderly at home. The proposed approach is composed of a video analysis component and an activity recognition component. A video analysis component contains person detection, person tracking and human posture recognition. A human posture recognition is composed of a set of postures models and a dedicated human posture recognition algorithm. Activity recognition component contains a set of video event models and a dedicated video event recognition algorithm. In this study, we collaborate with medical experts (gerontologists from Nice hospital) to define .....
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ICVW2008_Zouba.pdf BibTex

2007

Thesis

Titre
Reconnaissance de postures pour l'interprétation d'activité humaine
Auteurs
Bernard Boulay
Détail
informatique. Université de Nice Sophia-Antipolis, Jan. 2007. English
Début du résumé
Durant cette thèse nous avons proposé une approche temps réel, générique et fonctionnelle pour reconnaître la posture des personnes filmées par une caméra statique. Notre approche est conçue pour être complètement automatique et indépendante du point de vue de la caméra. La reconnaissance de posture à partir de séquence vidéo est un problème difficile. Ce problème s'inscrit dans le champ de recherche plus général de l'interprétation de séquence vidéo. L'approche proposée prend en entrée des informations provenant d'algorithmes de vision telles que la silhouette de la personne observée (une image binaire où une couleur représente la personne et l'autre le .....
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Boulay-PhD.pdf BibTex

2006

Articles in peer-reviewed journal

Titre
Applying 3D Human Model in a Posture Recognition System
Auteurs
Bernard Boulay; François Bremond; Monique Thonnat
Détail
Pattern Recognition Letters, PR, 2006, Special Issue on vision for Crime, 27 (15), pp. 1788-1796
Début du résumé
This paper proposes an approach to recognise human postures in videosequences, which combines a 2D approach with a 3D human model. The 3D model is a realistic articulated human model which is used to obtain reference postures to compare with test postures. Several 2D approaches using different silhouette representations are compared with each other: projections of moving pixels on the reference axis, Hu moments and skeletonisation. We are interested in a set of specific postures which are representative of typical video understanding applications. We describe results for recognition of general postures (e.g. standing) and detailed postures (e.g standing with one .....
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bboulayPRL.pdf BibTex

2005

Peer-reviewed conference/proceedings

Titre
Posture Recognition with a 3D Human Model
Auteurs
Bernard Boulay; François Brémond; Monique Thonnat
Détail
IEE International Symposium on Imaging for Crime Detection and Prevention, 2005, Londres, United Kingdom.
Début du résumé
This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 2D approach consists in projections of moving pixels on the reference axis. The 3D model is a realistic articulated human model which is used to obtain reference postures to compare with test postures. We are interested in a set of specific postures which are representative of typical applications in video interpretation. We give results for recognition of general (e.g. standing) and detailed (e.g standing with one arm up) postures. First results show the effectiveness of our approach .....
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icdp2005.pdf BibTex

2003

Peer-reviewed conference/proceedings

Titre
Human Posture Recognition in Video Sequence
Auteurs
Bernard Boulay; François Bremond; Monique Thonnat
Détail
IEEE International Workshop on VS-PETS, Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2003, Nice, France.
Début du résumé
This paper presents a new approach to recognize human postures in video sequences comparing two methods. We first describe these two methods based on 2D appearances. The first one uses projections of moving pixels on the reference axis. The second method decomposes the human silhouette into blocks and learns 2D posture appearances through PCA. Then we use 3D model of posture to make the previous methods independent of the camera position. At the end we give some preliminary results and conclude on the effectiveness of this approach. .....
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vspets2003.pdf BibTex