In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
: In Bayesian identification an ID source is in conflict with the other ID sources, if both provide substantially different, reliable information on a tracked object. After discuss...
Although the availability of large video corpora are on the rise, the value of these datasets remain largely untapped due to the difficulty of analyzing their contents. Automatic ...
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...