CORDIS Project
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SCOVIS focuses on developing advanced learning algorithms for analyzing visual procedures with minimal user input. It aims to enhance monitoring systems by enabling automatic camera coordination and self-configuration, allowing for efficient object and procedure recognition through continuous learning from visual data.
SCOVIS will investigate weakly supervised learning algorithms and self-adaptation strategies for analysis of visually observable procedures.
SCOVIS research directly affects ease of deployment and minimises effort of operation of monitoring systems and is unique in the sense that it links object learning using low-level object descriptors and procedure learning with adaptation mechanisms and active camera network coordination.
SCOVIS advocates a synergistic approach that combines largely unsuper…
RESEARCH UNIVERSITY INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Belgium, Leuven
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Switzerland, Zuerich
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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