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ECSE CSEL
Joint Undertak aking ng
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Project Rationale
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Broadcasting Security Healthcare
ECS CSEL EL Bro roker erage age Event nt 2016 16 ECSE CSEL - - PowerPoint PPT Presentation
ECS CSEL EL Bro roker erage age Event nt 2016 16 ECSE CSEL - - PowerPoint PPT Presentation
ECS CSEL EL Bro roker erage age Event nt 2016 16 ECSE CSEL Joint Undertak aking ng Cooperative Vision in Imaging and Sensing Networks Klaas Jan Damstra, klaasjan.damstra@grassvalley.com Robert Hofsink, robert.hofsink@philips.com
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Project Rationale
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Broadcasting Security Healthcare
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Project Rationale
- High end imaging applications have moved from
single image capture devices to the joint use of multiple cameras, detectors and sensors
– Integration complexity – End user is presented/confronted with large variety of images/data… – … which makes decision making very difficult and non- intuitive
- The overall goal of the project is to create a
platform for fully connected imaging systems
– Easy interaction of multi-camera and multi-modal imaging systems… – … with each other and with their environment – Enrich content → Support human decision making – Autonomous and application driven image acquisition
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Project Evolution
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Cooperative Vision in Imaging & Sensing Networks
Image Sensors CATRENE, 2009-2012 Intelligent Image Acquisition ENIAC, 2012-2015
Autonomous Imaging Networks
ECSEL,
The project builds upon the results of the HiDRaLoN and PANORAMA projects
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Main R&D activities
- Data analytics
– Video Content Analysis, Deep Learning, Data Reduction
- Cooperative Vision
– Data Fusion on System Level → Control the Local Video Processing
- Smart Camera Processing Platforms
– Embedded intelligence in camera – Real-time data exchange via IP-networks
- System level architecture
– Enabling cooperative computer vision – Mapping on camera hardware and system level processing hardware
- Secure interfaces and standardization of meta data exchange
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Relevance & Project impact
- Relevance (MASP)
– Smart Society – Smart Health – Smart System Integration
- Project Impact
– Security & Surveillance: Monitoring a large dynamic environment by a single operator – Broadcasting: Multi Platform Content Delivery challenge – Medical imaging: Help the doctor to decide, guide and confirm the right therapy.
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Information about the Consortium
- Partners in consortium:
– NL: Grass Valley, Bosch Security, Philips Healthcare – BE: iMinds, … – FR: CMM, Medisys, … – ES:
- Looking for industrial partners
- Looking for expertise in:
– Cooperative computer vision – Deep learning – Secure interfaces and data exchange
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Thank you!
Klaas Jan Damstra klaasjan.damstra@grassvalley.com Robert Hofsink, robert.hofsink@philips.com
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