1401 search results - page 3 / 281 » Probabilistic Object Tracking Using Multiple Features |
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
AVSS
2005
IEEE
13 years 11 months ago
2005
IEEE
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is gener...
TSP
2010
13 years 9 hour ago
2010
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
VIP
2003
13 years 6 months ago
2003
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...