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In this paper an on-line method is proposed for statistical e v uation of dynamic web advertisements via measuring their visit frequencies. To minimize the require d user-interaction, the eye movements are tracked by a special eye camera, and the its on advertisements are automatically recognized. The detec tion step is mapped to a 2D template matching problem, and novel algorith ms are developed to significantly decrease the processing time, via excluding quickly most of the false hit-candidates . We show that due to the improvements the method runs inreal timein the context of the selected application. The solution has been validated onreal test dataand quantitave results have been provided to show the gain in recognition rate and processing time versus previous approaches.

FAST TEMPLATE MATCHING FOR MEASURING VISIT FREQUENCIES OF DYNAMIC WEB ADVERTISEMENTS