Paper Info
Title
Robust appearance modeling for pedestrian and vehicle tracking
Abstract
This paper describes a system for tracking people and vehicles for stationary-camera visual surveillance. The appearance of objects being tracked is modeled using mixtures of mixtures of Gaussians. Particles filters are used to track the states of object. Results show the robustness of the system to various lighting and object conditions.
Year
DOI
Venue
2006
10.1007/978-3-540-69568-4_17
CLEAR
Keywords
Field
DocType
robust appearance modeling,stationary-camera visual surveillance,object condition,vehicle tracking,various lighting,particles filter,particle filter,mixture of gaussians
Computer vision,Pedestrian,Computer science,Particle filter,Tracking system,Active appearance model,Robustness (computer science),Video tracking,Artificial intelligence,Appearance modeling,Vehicle tracking system
Conference
Volume
ISSN
Citations 
4122
0302-9743
4
PageRank 
References 
Authors
0.68
4
2
Name
Order
Citations
PageRank
Wael Abd-Almageed124824.52
Larry S. Davis2142012690.83