{"pk":26768,"title":"Multimodal Object Recognition and Categorisation by Interactive Behaviours","subtitle":null,"abstract":"Human beings have an excellent ability which can form and recognise object categories. In this paper, a novel systemof multimodal object recognition and categorisation by perform- ing interactive behaviours is introduced. Video clips are filmedas the raw input of the system. A dataset of 100 objects with 18 categories and 5 different interactions is used to evaluated theperformance. Convolutional neural network is used to train the classifier and learn the categories. The result shows the high-est, lowest and average recognition accuracies of every specific object in every category and the receiver operating character-istic for every category. The connection between the presented system and human cognitive system is discussed in the conclu-sion and future works.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6479h9fw","frozenauthors":[{"first_name":"Haojun","middle_name":"","last_name":"Guan","name_suffix":"","institution":"University of Hamburg","department":""},{"first_name":"Jianwei","middle_name":"","last_name":"Zhang","name_suffix":"","institution":"University of Hamburg","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26768/galley/16404/download/"}]}