Abstract--We present an application of a modified KalmanFilter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is rob...
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
— We present a localization method for robots equipped with only a compass, a contact sensor and a map of the environment. In this framework, a localization strategy can be descr...
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
We develop a method for the optical flow computation from a zooming image sequence. The synchronisation of image resolution for a pair of successive images in an image sequence is...