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1
Jointly Learning Visual Poses and Pose Lexicon for Semantic Action Recognition
In: Faculty of Engineering and Information Sciences - Papers: Part B (2019)
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2
Detection of ground parrot vocalisation: a multiple instance learning approach
Nguyen, Duc Thanh; Ogunbona, Philip O; Li, Wanqing. - : Acoustical Society of America, 2017
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3
Semantic action recognition by learning a pose lexicon
In: Faculty of Engineering and Information Sciences - Papers: Part B (2017)
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4
Learning a pose lexicon for semantic action recognition
In: Faculty of Engineering and Information Sciences - Papers: Part A (2016)
Abstract: This paper presents a novel method for learning a pose lexicon comprising semantic poses defined by textual instructions and their associated visual poses defined by visual features. The proposed method simultaneously takes two input streams, semantic poses and visual pose candidates, and statistically learns a mapping between them to construct the lexicon. With the learned lexicon, action recognition can be cast as the problem of finding the maximum translation probability of a sequence of semantic poses given a stream of visual pose candidates. Experiments evaluating pre-trained and zero-shot action recognition conducted on MSRC-12 gesture and WorkoutSu-10 exercise datasets were used to verify the efficacy of the proposed method.
Keyword: action; Engineering; learning; lexicon; pose; recognition; Science and Technology Studies; semantic
URL: https://ro.uow.edu.au/eispapers/6038
https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7068&context=eispapers
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5
Measuring face familiarity and its application to face recognition
In: Faculty of Engineering and Information Sciences - Papers: Part A (2012)
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6
Finding distinctive facial areas for face recognition
In: Faculty of Informatics - Papers (Archive) (2010)
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