CORDIS Project
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This project focuses on enhancing object and action recognition in computer vision by reducing manual labeling through the analysis of video streams. It aims to develop a sophisticated representation of objects by leveraging visual patterns and the 3D structure of scenes, particularly in dynamic environments.
Reliable recognition of thousands of object and action categories is today's key challenge in computer vision.
Most contemporary approaches are based on supervised learning algorithms to train object classifiers.
While manual annotation has become easier in recent years, it is still not scalable to a large set of categories.
Moreover, as it is usually based on human language it does not reflect the visual characteristics of objects, but tries to establish high-level links that should actually be…
ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
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