Group Interaction Analysis in Dynamic Context (Reprinted from IEEE Trans. Syst., Man, Cybern., Part B, vol 38, pg 275-282, 2008)

被引：10
作者：
Dai, Peng [1 ]
Di, Huijun [1 ]
Dong, Ligeng [1 ]
Tao, Linmi [1 ]
Xu, Guangyou [1 ]
机构：
[1] Tsinghua Univ, Dept Comp Sci & Technol, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2009年 / 39卷 / 01期
关键词：
Dynamic Bayesian network (DBN); dynamic context model; group interaction analysis; meeting analysis; VISION SYSTEM;
D O I：
10.1109/TSMCB.2008.2009559
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Computer understanding of human actions and interactions is one of the key research issues in human computing. In this regard, context plays an essential role in semantic understanding of human behavioral and social signals from sensor data. This paper put forward an event-based dynamic context model to address the problems of context awareness in the analysis of group interaction scenarios. Event-driven multilevel dynamic Bayesian network is correspondingly proposed to detect multilevel events, which underlies the context awareness mechanism. Online analysis can be achieved, which is superior over previous works. Experiments in our smart meeting room demonstrate the effectiveness of our approach.
引用
收藏
页码：34 / 42
页数：9
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