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Abstract:
Finding articulated objects, like people, in pictures
presents a particularly difficult object recognition problem. We
show how to find people by finding putative body segments, and then
constructing assemblies of those segments that are consistent with
the constraints on the appearance of a person that result from
kinematic properties. Since a reasonable model of a person requires
at least nine segments, it is not possible to present every group
to a classifier. Instead, the search can be pruned by using
projected versions of a classifier that accepts groups
corresponding to people. We describe an efficient projection
algorithm for one popular classifier, and demonstrate that our
approach can be used to determine whether images of real scenes
contain people.
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