Group Interaction Analysis in Dynamic Context$^{\ast}$

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.

[1]  Steve Renals,et al.  Automatic Meeting Segmentation Using Dynamic Bayesian Networks , 2007, IEEE Transactions on Multimedia.

[2]  Alex Pentland,et al.  Human computing and machine understanding of human behavior: a survey , 2006, ICMI '06.

[3]  Samy Bengio,et al.  Automatic analysis of multimodal group actions in meetings , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Datong Chen,et al.  A Study of Detecting Social Interaction with Sensors in a Nursing Home Environment , 2005, ICCV-HCI.

[5]  Pong C. Yuen,et al.  Automatic Acquisition of Context Models and its Application to Video Surveillance , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[6]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[7]  Mohan M. Trivedi,et al.  Dynamic context capture and distributed video arrays for intelligent spaces , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[8]  Albrecht Schmidt,et al.  Implicit human computer interaction through context , 2000, Personal Technologies.

[9]  Shaogang Gong,et al.  Beyond Tracking: Modelling Activity and Understanding Behaviour , 2006, International Journal of Computer Vision.

[10]  Brett Browning,et al.  CAMEO: Camera Assisted Meeting Event Observer , 2007 .

[11]  Christian Bauckhage,et al.  A cognitive vision system for action recognition in office environments , 2004, CVPR 2004.

[12]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[13]  Samy Bengio,et al.  Modeling individual and group actions in meetings with layered HMMs , 2006, IEEE Transactions on Multimedia.

[14]  Daqing Zhang,et al.  Enhancing Semantic Spaces with Event-Driven Context Interpretation , 2005, Pervasive.

[15]  Anton Nijholt,et al.  Online and off-line visualization of meeting information and meeting support , 2006, The Visual Computer.

[16]  Oliver Brdiczka,et al.  Supervised learning of an abstract context model for an intelligent environment , 2005, sOc-EUSAI '05.

[17]  Jake K. Aggarwal,et al.  Human motion: modeling and recognition of actions and interactions , 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

[18]  Alex Pentland,et al.  A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Jake K. Aggarwal,et al.  Recognition of Composite Human Activities through Context-Free Grammar Based Representation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[20]  Sangho Park,et al.  A hierarchical graphical model for recognizing human actions and interactions in video , 2004 .

[21]  Qiang Liu,et al.  A flexible multi-server platform for distributed video information processing , 2007 .

[22]  Daniel Gatica-Perez,et al.  Analyzing Group Interactions in Conversations: a Review , 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

[23]  Saul Greenberg,et al.  Context as a Dynamic Construct , 2001, Hum. Comput. Interact..

[24]  James L. Crowley,et al.  Context Driven Observation of Human Activity , 2003, EUSAI.

[25]  Peng Dai,et al.  Dynamic context driven human detection and tracking in meeting scenarios , 2007, VISAPP.

[26]  François Brémond,et al.  Group behavior recognition with multiple cameras , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..