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This paper proposes a robust deformable adaptive 2D model, based on computer vision methods, that automatically fits the body (ventral silhouette) of Bluefin tuna while swimming. Our model (without human intervention) adjusts to fish shape and size, obtaining fish orientation, bending to fit their flexion motion and has proved robust enough to overcome possible segmentation inaccuracies. Once the...
This paper introduces a novel approach to background modelling. We propose using initially a method to extract scene parameters from a sequence of frames. These parameters, together with an initial background model, are used as a starting point for a background subtraction method based on fuzzy logic. Our method permits modelling the background and detecting moving objects in a video sequence without...
This paper describes an approach to segment and locate people in crowded scenarios with application to a surveillance system for airport dependencies. To obtain robust operation, the system analyzes a variety of visual cues -color, motion and shape- and integrates them optimally. A general method for automatic inference of optimal cue integration rules is presented. This schema, based on supervised...
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