Paper Info
Title
A New Network-Based Algorithm for Human Activity Recognition in Videos
Abstract
In this paper, a new network-transmission-based (NTB) algorithm is proposed for human activity recognition in videos. The proposed NTB algorithm models the entire scene as an error-free network. In this network, each node corresponds to a patch of the scene and each edge represents the activity correlation between the corresponding patches. Based on this network, we further model people in the scene as packages, while human activities can be modeled as the process of package transmission in the network. By analyzing these specific package transmission processes, various activities can be effectively detected. The implementation of our NTB algorithm into abnormal activity detection and group activity recognition are described in detail in this paper. Experimental results demonstrate the effectiveness of our proposed algorithm.
Year
DOI
Venue
2014
10.1109/TCSVT.2013.2280849
Circuits and Systems for Video Technology, IEEE Transactions  
Keywords
DocType
Volume
activity recognition,network based algorithm,activity correlation,human activity recognition,group activity recognition,package transmission,network model,video surveillance,correlation,trajectory,training data
Journal
abs/1502.06075
Issue
ISSN
Citations 
5
IEEE Trans. Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 826-841, 2014
7
PageRank 
References 
Authors
0.44
21
6
Name
Order
Citations
PageRank
Weiyao Lin173268.05
Yuanzhe Chen21086.84
Jianxin Wu33276154.17
Hanli Wang486569.10
Bin Sheng570.44
Hongxiang Li627016.42