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» Image Categorization Using Local Probabilistic Descriptors
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ICPR
2008
IEEE
14 years 10 months ago
Tracking features on a moving object using local image bases
This paper presents a new method for tracking feature points on the textureless surface of a moving object. We employ a local image basis as a descriptor of each point for dealing...
Atsuto Maki, Takashi Matsuyama, Yosuke Hatanaka
CVPR
2009
IEEE
15 years 4 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
14 years 3 months ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka
IJCV
2000
161views more  IJCV 2000»
13 years 8 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
ACIVS
2009
Springer
14 years 3 months ago
Comparing Feature Matching for Object Categorization in Video Surveillance
In this paper we consider an object categorization system using local HMAX features. Two feature matching techniques are compared: the MAX technique, originally proposed in the HMA...
Rob G. J. Wijnhoven, Peter H. N. de With