We consider how junction detection and classification can be performed in an active visual system. This is to exemplify that feature detection and classification in general can be done by both simple and robust method...
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A mathematical model for a consolidation process of a highly concentrated, flocculated suspension is developed. The suspension is treated as a mixture of a fluid and solid particles by an Eulerian two-phase fluid mode...
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We show that unification in the equational theory defined by the one-sided distributivity law x × (y+z)=x×y+x×z is decidable and that unification is undecidable if the laws of associativity x+(y+z)=(x+y...
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The problem of segmenting aerial photographs can generally not be solved in a reasonable manner by use of the information in the image alone. In this paper we present a structured approach to the problem, which in add...
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Projective distortion of surface texture observed in a perspective image can provide direct information about the shape of the underlying surface. Previous theories have generally concerned planar surfaces;this paper ...
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In this paper we treat the problem of determining optimally (in the least-squares sense) the 3D coordinates of a point, given its noisy images formed by any number of cameras of known geometry. The optimality criterio...
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Projective distortion of surface texture observed in a perspective image can provide direct information about the shape of the underlying surface. Previous theories have generally concerned planar surfaces;in this pap...
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We show that a set of finite graphs of tree-width at most k is recognizable (with respect to the algebra of graphs with an unbounded number of sources) if and only if it is recognizable with respect to the algebra of ...
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In this work we investigate the problem of tracking multiple interacting people under uncontrolled stationary environments for intelligent surveillance applications. This domain is very challenging since the clothing ...
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In this work we investigate the problem of tracking multiple interacting people under uncontrolled stationary environments for intelligent surveillance applications. This domain is very challenging since the clothing appearance changes of the people over time make difficult the temporal association of their identities. The problem is emphasized when individuals move close to each other, are occluded, or abruptly change their trajectories. We propose a tracking graph that models spatial and temporal relationships among people in order to predict and resolve partial and total occlusions. When a total occlusion event occurs, the model generates three possible hypotheses about the location of the occluded person according to a human interaction analysis. This model is able to detect false positives and false negatives in the detection measurements and it can also estimate the location of missing or occluded people. Our approach was evaluated on benchmark sequences and results show how it outperforms state-of-the-art algorithms even in the presence of long periods of occlusion.
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