Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Advances in sensor and wireless technologies will enable thousands, or even millions of small but smart sensors to be deployed for a wide range of monitoring applications. The sen...
Flow measurement evolved into the primary method for measuring the composition of Internet traffic. Large ISPs and small networks use it to track dominant applications, dominant ...
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
In implicit human computer interaction, computers are required to understand users’ actions and intentions so as to provide proactive services. Visual processing has to detect an...