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Recently, generic object recognition has been studied for still images actively, but not almost for videos. As for the generic object recognition in a video, it is important to make use of the features from various frames involved in the video efficiently. In this paper, we propose a method of recognizing generic objects in videos by combining BoF of each frames and motion features of consecutive frames. 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