Object detection is one of the most challenging issues for computer vision researchers. The analysis of theudhuman visual attention mechanisms can help automatic inspection systems, in order to discard useless informationudand improving performances and efficiency. In this paper we proposed our attention based method toudestimate firearms position in images of people holding firearms. Both top-down and bottom-up mechanismsudare involved in our system. The bottom-up analysis is based on a state-of-the-art approach. The top-down analysis is based on the construction of a probabilistic model of the firearms position with respect to the people’s face position. This model has been created by analyzing information from of a public available database of movie frames representing actors holding firearms.
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