Discriminative human action segmentation and recognition using semi-Markov model
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]
|Collections||ANU Research Publications|
|Source:||Proceedings of CVPR 2008|
|01_Shi_Discriminative_human_action_2008.pdf||1.94 MB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.