  The combination of a CNN detector and a search framework forms the basis for
local object/pattern detection. To handle the waste of regional information and
the defective compromise between efficiency and accuracy, this paper proposes a
probabilistic model with a powerful search framework. By mapping an image into
a probabilistic distribution of objects, this new model gives more informative
outputs with less computation. The setting and analytic traits are elaborated
in this paper, followed by a series of experiments carried out on FDDB, which
show that the proposed model is sound, efficient and analytic.
