64 search results - page 4 / 13 » Audio-visual speaker tracking with importance particle filte... |
ECCV
2000
Springer
14 years 10 months ago
2000
Springer
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
EMMCVPR
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...