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Joint segmentation and classification of human actions in video
2011
CVPR 2011
Automatic video segmentation and action recognition has been a long-standing problem in computer vision. Much work in the literature treats video segmentation and action recognition as two independent problems; while segmentation is often done without a temporal model of the activity, action recognition is usually performed on pre-segmented clips. In this paper we propose a novel method that avoids the limitations of the above approaches by jointly performing video segmentation and action
doi:10.1109/cvpr.2011.5995470
dblp:conf/cvpr/NguyenLT11
fatcat:5bbfxq5p4fe73bxd5rqinwkzti