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When S = A and S(x) = A(x), is referred to as co-occurrence. It means that, for a label a = A(x), the histogram of labels over the region p(x) on average is (·, a, p). This model is obtained by first computing the local descriptor and performing quantization steps, same as the bag-of-feature model. 7. LEARNING A CAMERA NETWORK TOPOLOGY 27 of the labels in several spatial regions p, relative to the label a. , 2011] for more details). PARTS-BASED MODELING BY INTEREST POINT MATCHING In this parts-based appearance model, an interest operator is used to identify parts and establish correspondences between individuals.

PARTS-BASED MODELING BY INTEREST POINT MATCHING In this parts-based appearance model, an interest operator is used to identify parts and establish correspondences between individuals. Given an image of a person, the Hessian affine invariant interest operator [Mikolajczyk and Schmid, 2005] is used to nominate points of interest. When two images I and J are compared, an initial set of correspondences are nominated. The merit of a potential match (i → j ) is evaluated using the intersection histogram.

CONCLUSIONS 31 j ∈ Ci . Moreover, the direction of motion of this corresponding view will be such that the function Li,s j (x , y ) changes from negative to positive. Based on this constraint, a short list of the candidates for possible correspondence can be generated. 26) where p is the label of objects in C j and D(L, O) is the distance of object O from a line L. i ↔ O j between views of the same object have been established, we Once equivalences of Om n have essentially established a correspondence between the entire tracks in the two views.

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