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https://scholarbank.nus.edu.sg/handle/10635/138679
Title: | FOREGROUND-CENTRIC ACTION RECOGNITION | Authors: | TRAN LAM AN | ORCID iD: | orcid.org/0000-0003-4355-812X | Keywords: | foreground-centric, action recognition, video classification, video prediction | Issue Date: | 16-Aug-2017 | Citation: | TRAN LAM AN (2017-08-16). FOREGROUND-CENTRIC ACTION RECOGNITION. ScholarBank@NUS Repository. | Abstract: | Video is highly unstructured and high dimensional data. While action recognition has been an active research topic, modeling structures in video is often a challenging problem. Modeling structures would reduce search spaces of learning problems in high dimensional video data and produce competitive performances. Inspired by these prospects, in this thesis, we attempt to develop structural action models based on a robust and prominent cue in video, figure-ground separation. Going through a paradigm shift in computer vision community, we also develop structural models powered by both shallow and deep predictive machinery. | URI: | http://scholarbank.nus.edu.sg/handle/10635/138679 |
Appears in Collections: | Ph.D Theses (Open) |
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