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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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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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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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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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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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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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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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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