Sciweavers

283 search results - page 46 / 57
» Tracking People by Learning Their Appearance
Sort
View
CLOR
2006
13 years 11 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
CVPR
2011
IEEE
12 years 11 months ago
Probabilistic Gaze Estimation Without Active Personal Calibration
Existing eye gaze tracking systems typically require an explicit personal calibration process in order to estimate certain person-specific eye parameters. For natural human compu...
Jixu Chen, Qiang Ji
CVPR
2007
IEEE
14 years 9 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
AMDO
2004
Springer
13 years 11 months ago
On-the-Fly Training
Abstract. A new algorithm for the incremental learning and non-intrusive tracking of the appearance of a previously non-seen face is presented. The computation is done in a causal ...
Javier Melenchón, Lourdes Meler, Ignasi Iri...
MOBISYS
2008
ACM
14 years 7 months ago
Sixthsense: rfid-based enterprise intelligence
RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based enterpri...
Lenin Ravindranath, Venkata N. Padmanabhan, Piyush...