71 search results - page 2 / 15 » Object Class Recognition Using SIFT and Bayesian Networks |
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
SMC
2010
IEEE
13 years 3 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
ICVS
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, ...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...