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Discriminative human action segmentation and recognition using semi-Markov model

Shi, Qinfeng; Wang, Li; Cheng , Li; Smola, Alexander

Description

Given an input video sequence of one person conducting a sequence of continuous actions, we consider the problem of jointly segmenting and recognizing actions. We propose a discriminative approach to this problem under a semi-Markov model framework, where we are able to define a set of features over input-output space that captures the characteristics on boundary frames, action segments and neighboring action segments, respectively. In addition, we show that this method can also be used to...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/54606
Source: Proceedings of CVPR 2008
DOI: 10.1109/CVPR.2008.4587557

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