parked aircraft monitoring in toulouse unloading front operation

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Parked aircraft monitoring in Toulouse Unloading Front Operation Bank agency monitoring in Paris for bank attack prevention Disturbing people in a train scenario Jumping over barrier Subway monitoring Fighting Subway monitoring Blocking an exit Exit zone Subway monitoring Activity Monitoring Results Video Understanding for Activity Monitoring François Brémond – PULSAR – INRIA – Sophia Antipolis [email protected] Keywords: Scene understanding, event recognition, behaviour analysis, multi-sensor fusion, real-time systems, system evaluation, adaptable system François Brémond http://www-sop.inria.fr/pulsar/personnel/ Francois.Bremond 75 Papers in international conferences and journals on video understanding available at the web site 12 PhD thesis Keeneo Start-up (intelligent video surveillance) created in 2005. http://www.keeneo.com Objective: Real-time Interpretation of videos from pixels to events Segmentation Classification Scenario Recognition Tracking 3D scene model Scenario models (A priori Knowledge) Global approach integrating all video understanding functionalities Cognitive vision: 4D analysis (3D + temporal analysis) Artificial intelligence: explicit knowledge Predefined scenario models Context of the 3D environment, camera calibration Model of expected moving objects Software engineering: Easy generation of dedicated systems Reusable & adaptable platform Video Understanding Approach Metadata * Alarms * Access to forbidden area Dissemination Opposite direction in a demonstration Crowd behavior Subway monitoring Extract and structure knowledge (invariants & models) for Perception for video understanding People detection (posture and gesture recognition) using background subtraction and feature computation (e.g. Haar, HOG) Maintenance of the 3D coherency throughout time Short/long term tracker, crowd tracker Sensor information fusion Event recognition Predefined models based on an ontology Learnt primitive and composite events Evaluation, control and learning Evaluation framework Adaptation to dynamic environment Offline clustering, data mining Control access in Paris subway Tailgating detection Elderly monitoring Eating in the living room Elderly monitoring Fainti ng 25 projects in safety/security: 7 European projects: Esprit, ITEA, FP6, FP7: PASSWORDS, ADVISOR, AVITRACK, SERKET, CARETAKER, CANTATA, COFRIEND • 1 DARPA: VSAM • 10 French projects: ANR, DGE, Prédit, TechnoVision, PACA, CG06 • 7 industrial research contracts: Bull, Vigitec, SNCF, RATP, ALSTOM, STMicroElectronics, Thales Vandalism against vending machine

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* Alarms * Access to forbidden area. Metadata. Video Understanding for Activity Monitoring François Brémond – PULSAR – INRIA – Sophia Antipolis [email protected]. - PowerPoint PPT Presentation

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Page 1: Parked  aircraft monitoring in Toulouse Unloading Front Operation

Parked aircraft monitoring in ToulouseUnloading Front Operation

Bank agency monitoring in Paris for bank attack preventionDisturbing people in a train scenario

Jumping over barrierSubway monitoring Fighting

Subway monitoring

Blocking an exit

Exit zo

ne

Subway monitoring

Activity Monitoring Results

Video Understanding for Activity Monitoring

François Brémond – PULSAR – INRIA – Sophia [email protected]

Keywords: Scene understanding, event recognition, behaviour analysis, multi-sensor fusion, real-time systems, system evaluation, adaptable system

François Brémondhttp://www-sop.inria.fr/pulsar/personnel/Francois.Bremond

75 Papers in international conferences and journals on video understanding available at the web site

12 PhD thesis

KeeneoStart-up (intelligent video surveillance) created in 2005. http://www.keeneo.com

Objective: Real-time Interpretation of videos from pixels to events

Segmentation Classification Scenario RecognitionTracking

3D scene modelScenario models

(A priori Knowledge)

Global approach integrating all video understanding functionalities

Cognitive vision: 4D analysis (3D + temporal analysis) Artificial intelligence: explicit knowledge

Predefined scenario models Context of the 3D environment, camera calibration Model of expected moving objects

Software engineering: Easy generation of dedicated systems Reusable & adaptable platform

Video Understanding Approach

Metadata

* Alarms* Access toforbidden area

Dissemination

Opposite direction in a demonstrationCrowd behaviorSubway

monitoring

Extract and structure knowledge (invariants & models) for Perception for video understanding

People detection (posture and gesture recognition) using background subtraction and feature computation (e.g. Haar, HOG)

Maintenance of the 3D coherency throughout time Short/long term tracker, crowd tracker Sensor information fusion

Event recognition Predefined models based on an ontology Learnt primitive and composite events

Evaluation, control and learning Evaluation framework Adaptation to dynamic environment Offline clustering, data mining

Control access in Paris subway

Tailgating detection Elderly monitoring Eating in the living

room Elderly monitoring Fainting

25 projects in safety/security:• 7 European projects: Esprit, ITEA, FP6, FP7: PASSWORDS, ADVISOR, AVITRACK, SERKET, CARETAKER, CANTATA, COFRIEND• 1 DARPA: VSAM• 10 French projects: ANR, DGE, Prédit, TechnoVision, PACA, CG06• 7 industrial research contracts: Bull, Vigitec, SNCF, RATP, ALSTOM, STMicroElectronics, Thales

Vandalism against vending machine