Sciweavers

405 search results - page 3 / 81
» Tracking a large number of objects from multiple views
Sort
View
IJCV
2006
145views more  IJCV 2006»
13 years 5 months ago
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
CVPR
2009
IEEE
15 years 21 days ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
IROS
2009
IEEE
143views Robotics» more  IROS 2009»
14 years 7 days ago
Systems and algorithms for autonomously simultaneous observation of multiple objects using robotic PTZ cameras assisted by a wid
— We report an autonomous observation system with multiple pan-tilt-zoom (PTZ) cameras assisted by a fixed wideangle camera. The wide-angle camera provides large but low resolut...
Yiliang Xu, Dezhen Song
CLOR
2006
13 years 9 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
ICCV
2003
IEEE
13 years 11 months ago
Tracking Across Multiple Cameras With Disjoint Views
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
Omar Javed, Zeeshan Rasheed, Khurram Shafique, Mub...