Title
Multipe/single-view human action recognition via part-induced multitask structural learning.
Abstract
This paper proposes a unified framework for multiple/single-view human action recognition. First, we propose the hierarchical partwise bag-of-words representation which encodes both local and global visual saliency based on the body structure cue. Then, we formulate the multiple/single-view human action recognition as a part-regularized multitask structural learning (MTSL) problem which has two ad...
Year
DOI
Venue
2015
10.1109/TCYB.2014.2347057
IEEE Transactions on Cybernetics
Keywords
Field
DocType
Hidden Markov models,Visualization,Feature extraction,Joints,Spatiotemporal phenomena,Correlation
Modalities,Feature selection,Pattern recognition,Computer science,Visualization,Feature extraction,Linear subspace,Regularization (mathematics),RGB color model,Artificial intelligence,Hidden Markov model,Machine learning
Journal
Volume
Issue
ISSN
45
6
2168-2267
Citations 
PageRank 
References 
56
1.11
40
Authors
6
Name
Order
Citations
PageRank
Anan Liu182362.46
Yuting Su289371.78
Ping-Ping Jia3561.11
Zan Gao426127.71
Tong Hao5654.27
Yang Zhaoxuan6561.78