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» A Co-inference Approach to Robust Visual Tracking
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CVPR
1998
IEEE
15 years 12 months ago
Joint Probabilistic Techniques for Tracking Multi-Part Objects
Common objects such as people and cars comprise many visual parts and attributes, yet image-based tracking algorithms are often keyed to only one of a target's identifying ch...
Christopher Rasmussen, Gregory D. Hager
KBS
2008
209views more  KBS 2008»
14 years 10 months ago
An extended hyperbola model for road tracking for video-based personal navigation
We present a robust road detection and tracking method using multiple vanishing points and the condensation filter. We represent the road using an extended hyperbola model with an...
Li Bai, Yan Wang, Michael C. Fairhurst
ICIP
2005
IEEE
15 years 11 months ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes
IROS
2009
IEEE
203views Robotics» more  IROS 2009»
15 years 4 months ago
3D model based pose estimation for omnidirectional stereovision
— Robot vision has a lot to win as well with wide field of view induced by catadioptric cameras as with redundancy brought by stereovision. Merging these two characteristics in ...
Guillaume Caron, Éric Marchand, El Mustapha...
CONTEXT
2003
Springer
15 years 3 months ago
GRAVA: An Architecture Supporting Automatic Context Transitions and Its Application to Robust Computer Vision
We describe a software development approach for vision that enhances robustness by making novel use of context. Conventional approaches to most image understanding problems suffe...
Paul Robertson, Robert Laddaga