664 search results - page 23 / 133 » A Probabilistic Background Model for Tracking |
ICCV
1999
IEEE
15 years 11 months ago
1999
IEEE
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
NIPS
2001
14 years 11 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
107
click to vote
FGR
2004
IEEE
15 years 1 months ago
2004
IEEE
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
SSIAI
2000
IEEE
15 years 2 months ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...