Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
In this paper we present a flexible multimodal object tracking system. It is based on a particle filter which combines the outputs of different measurement methods (also called ...