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This paper demonstrates a system for automatic detection of visual attention and identification of salient items at exhibitions (e.g. museum or an auction). The method is offline and is done on a video captured by a head mounted camera. Towards the estimation of attention, we define the notions of "saliency" and "interestingness" for an exhibition items. Our method is a combination of multiple state of the art techniques from different vision tasks such as tracking, image matching anddoi:10.1109/icpr.2014.465 dblp:conf/icpr/RazavianASC14 fatcat:6d3dascszva6znn2vsi2akvh7e