Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Specification, modeling and analysis of interactions among peers that communicate via messages are becoming increasingly important due to the emergence of service oriented computi...
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...