Sciweavers

194 search results - page 20 / 39
» Robust Visual Tracking for Multiple Targets
Sort
View
CVPR
2004
IEEE
14 years 9 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
Gang Hua, Ying Wu
ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
13 years 12 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
AVSS
2007
IEEE
14 years 1 months ago
Using social effects to guide tracking in complex scenes
This paper presents a new methodology for improving the tracking of multiple targets in complex scenes. The new method, Motion Parameter Sharing, incorporates social motion inform...
Andrew French, Asad Naeem, Ian L. Dryden, Tony P. ...
ICPR
2004
IEEE
14 years 8 months ago
Switching Particle Filters for Efficient Real-time Visual Tracking
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Kenji Doya, Shin Ishii, Takashi Bando, Tomohiro Sh...
ICIP
2005
IEEE
14 years 9 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...