1. Atos, Atos and fish symbol, Atos Origin and fish symbol, Atos Consulting, and the fish symbol itself are registered trademarks of Atos Origin SA. June 16 © 2006 Atos Origin. Private for the client. This report or any part of it, may not be copied, circulated, quoted without prior written approval from Atos Origin or the client. ATOS Research and Innovation Nissan Projects – SCOVIS Ignacio Soler ignacio.solerjubert@atosorigin.comignacio.solerjubert@atosorigin.com 10 October 2008

2. 2 Barcelona, October 10 th 2008 SCOVIS »SCOVIS will significantly improve the versatility and the performance of the current monitoring systems for security purposes and workflow control in critical infrastructures. »SCOVIS will investigate weakly supervised learning algorithms and self- adaptation strategies for analysis of visually observable workflows and behaviors. »SCOVIS research links object learning using low-level object descriptors and procedure learning with adaptation mechanisms and active camera network coordination under a synergistic approach that combines largely unsupervised learning and model evolution in a bootstrapping process; »SCOVIS involves continuous learning from visual content in order to enrich the models and, inversely, the direct use of these models to enhance the extraction. Project Abstract

3. 3 Barcelona, October 10 th 2008 SCOVIS Project Abstract SCOVIS self adaptable framework Four research WPs

4. 4 Barcelona, October 10 th 2008 SCOVIS »The SCOVIS overall approach consists of five main design and implementation objectives: -To detect salient objects in a scene, both static and moving and track them through time, under an attention modeling framework. -To create a network of cameras for the understanding of the events and behaviors using cameras with overlapping or disjoint views and active cameras. -To model and understand automatically the workflows/procedures executed in a workplace in case of a single actor (agent) or for multiple ones and to provide error correction mechanisms. -To let the system learn from online input, by endowing it with self evolution and adaptation mechanisms using semi-supervised learning approaches and relevance feedback. -To evaluate all the above functionalities using appropriate datasets in a common testbed, so that the merits of their synergy can be exploited in real world scenarios. Overall Strategy

5. 5 Barcelona, October 10 th 2008 SCOVIS »A methodology for largely unsupervised learning of salient objects, implemented as an open architecture. »A methodology and an open architecture for large-scale camera networks. »A toolkit for weakly supervised learning and object detection. (Component 1) »A toolkit for camera network coordination. (Component 2) »A toolkit for behavior analysis. (Component 3) »A toolkit for adaptation mechanisms. (Component 4) »A testbed which will integrate all above toolkits and will demonstrate the benefits of the proposed synergies. (managed by Atos ) Expected Outcome

6. 6 Barcelona, October 10 th 2008 SCOVIS »SCOVIS will focus on procedures control. SCOVIS includes an end-user (NMISA- Nissan Motor Iberica S.A.) to validate the results of the project in a real world scenario on procedure control especially in the area of automotive manufacturing. »The scenario domain selected is an specific area within the Manufacturing Cell in NMISA facilities. »SCOVIS will focus to monitor certain assembly activities during the manufacturing automotive process. Application Domain and Evaluation

7. 7 Barcelona, October 10 th 2008 SCOVIS »SCOVIS’ performance environment will be an specific area within NMISA car’s factory »SCOVIS will focus its monitoring and surveillance process to control the stock replacement during a certain assembly process within the whole manufacturing automotive process. »When an abnormal situation (during this process) happened SCOVIS system will be able to detect and alert this event by throwing a warning message. »An abnormal situation could be represented by: -Lack of car’s part. -Problems during the supply process. -Bad car’s part manipulation. Brief scenario application description

8. 8 Barcelona, October 10 th 2008 SCOVIS Brief scenario application description - Screenshots Car’s parts replacement Car’s parts replacement

9. 9 Barcelona, October 10 th 2008 SCOVIS »To integrate different components by crating a suitable architecture for this kind on system (Cognitive System) Atos Origin - Action Planning

10. 10 Barcelona, October 10 th 2008 SCOVIS »Object detection and tracking, Consistent monitoring, Behaviour analysis, Adaptation, Integration platform and User interface, will be merged in order to have a common view of the architecture, and being able to interoperate among the different tasks over the work packages. »The process of designing so will be iterative and self-adaptive to the requirements of the interfaces of the subsystems in a distributed way. Evaluation Architecture Design

11. 11 Barcelona, October 10 th 2008 SCOVIS Evaluation Architecture Design – Main Tasks 1. To create a data set to be used for system evaluation. 2. To define the application scenario. 3. To define the evaluation architecture. 4. To implement and evaluate the scenario by integrating the individual tools. TIME SCOVIS REQUIREMENTS

12. 12 Barcelona, October 10 th 2008 SCOVIS Evaluation Architecture Design – Iterative Implementation Process

13. 13 Barcelona, October 10 th 2008 SCOVIS »RUP (Rational Unified Process) »Iterative software development process »Adapt the process »Process phases: Inception, Elaboration, Construction, Transition »Each phase has its ows artifact »RUP need to be customized by adapting the methodology for architecture functional and non- functional requirements. Architecture Design – Software Methodology RUP

14. 14 Barcelona, October 10 th 2008 Service Oriented Infraestucture - SOI Resource Management Service Oriented Architecture - SOA

15. Atos, Atos and fish symbol, Atos Origin and fish symbol, Atos Consulting, and the fish symbol itself are registered trademarks of Atos Origin SA. June 16 © 2006 Atos Origin. Private for the client. This report or any part of it, may not be copied, circulated, quoted without prior written approval from Atos Origin or the client. For more information please contact: Atos Origin Barcelona, Spain www.atosorigin.com