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In this paper, we present our ongoing research on capture and processing of location logs of visitors in museum. We introduce importance of logging visitors' locations in museum, and comparisons of various localization techniques developed so far. Among the techniques potentially available, we focus on image-based localization: the visitor capture images of the objects in museum which is of his/her interest, then the images are compared to the image dataset which includes location tags, and find the possible locations of the user. We will present our preliminary experiments of the results of the image-based localization, which we have done in the Railway Museum of Japan. Capturing images during the visit finally results in the location logs of the visitor which benefit each individual and the museum.