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Communication dans un congrès

Know Beyond Seeing: Combining Computer Vision with Semantic Reasoning

Abstract : To date, computer vision systems are limited to extract the digital data of what the cameras "see". However, the meaning of what they observe could be greatly enhanced by considering the environment and common-sense knowledge. A new approach to combine computer vision with semantic modeling has been developed. This approach extracts the knowledge from images and uses it to perform real-time reasoning according to the contextual information, events of interest and logic rules. The reasoning with image knowledge allows protecting the privacy of the users, to overcome some problems of computer vision such as occlusion and missed detections and to offer services such as people guidance and people counting. This approach is the first step to develop an "all-seeing" smart building that can automatically react according to its evolving information.
Type de document :
Communication dans un congrès
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Contributeur : Le2i - Université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : mardi 29 janvier 2019 - 17:25:22
Dernière modification le : mercredi 3 novembre 2021 - 08:54:49


  • HAL Id : hal-01998679, version 1


Roberto Marroquin, Julien Dubois, Christophe Nicolle. Know Beyond Seeing: Combining Computer Vision with Semantic Reasoning. 2018 IEEE 12th International Conference on Semantic Computing (ICSC), Jan 2018, Laguna Hills, California, United States. pp.310-311. ⟨hal-01998679⟩



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