Abstract
Early cognitive vision can be related to the segment of perceptual vision that takes care of reducing the uncertainty on visual measures through a visual context analysis, by capturing regularities over large, overlapping retinal locations, a step that precedes the true understanding of the scene. In this perspective, we defined a general framework to specify context sensitive motion filters based on elementary descriptive components of optic flow fields. The resulting regularized patch-based motion estimation obtained in real-world sequences validated the approach.
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Sabatini, S.P., Solari, F. (2003). An Early Cognitive Approach to Visual Motion Analysis. In: Cappelli, A., Turini, F. (eds) AI*IA 2003: Advances in Artificial Intelligence. AI*IA 2003. Lecture Notes in Computer Science(), vol 2829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39853-0_32
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DOI: https://doi.org/10.1007/978-3-540-39853-0_32
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