Video Based Online Behavior Detection Using Probabilistic Multi Stream Fusion

In the present treatise, we propose an approach for a highly configurable image based online person behaviour monitoring system. The particular application scenario is a crew supporting multi-stream on-board threat detection system, which is getting more desirable for the use in public transport. For such frameworks, to work robustly in mostly unconstrained environments, many subsystems have to be employed. Although the research field of pattern recognition has brought up reliable approaches for several involved subtasks in the last decade, there often exists a gap between reliability and the needed computational efforts. However in order, to accomplish this highly demanding task, several straight forward technologies, here the output of several socalled weak classifiers using low-level features are fused by a sophisticated Bayesian Network.

• Type: Conference
• Year: 2005
• Where: ICMCS
• Authors: Dejan Arsic, Frank Wallhoff, Björn Schuller, Gerhard Rigoll
• Keywords: Behaviour Monitoring System, ICMCS 2005, Multi-stream On-board Threat, Particular Application Scenario