Patent ID: 8749630
Filing Date: 2014-06-10
Classification: G06K,G06T,H04N

Abstract:
1. A method for automatic localization of objects in a mask, comprising the steps of: building a dictionary of atoms, wherein each atom models the presence of one object at one location; iteratively selecting a most correlated atom of said dictionary of atoms with a multi-silhouette vector for each possible location; iteratively updating a remainder of said multi-silhouette vector taking out the contribution of said most correlated atom; and repeating the steps of selecting and updating until meeting ending criteria, wherein said most correlated atom corresponds to a maximal statistic; further comprising: a. acquiring a multi-silhouette vector y; b. defining an upper-bound on the number of the objects W c. defining a regularization factor λ; d. defining a dictionary D; e. creating an output support set {circumflex over (Λ)}; f. initializing g. performing a preprocessing step for reducing the search space to a set U⊂{1, 2, . . . , N}; h. computing the sequence of statistics according to the formula wherein d i. repeating the step h. for each point between the number of points on the search space; l. finding the argmax of said sequence of statistics; m. updating said output support set according to the formula Λ^ n. updating said recovered multi-silhouette vector according to the formula y^ o. updating said remainder according to the formula R p. updating an error according to the formula e q. updating a counter according to the formula t r. repeating steps h. to q. until t≦k.