1354 search results - page 45 / 271 » Learning Object Models from Appearance |
ICRA
2009
IEEE
15 years 6 months ago
2009
IEEE
— In this paper, we introduce a cognitive approach for object tracking from a mobile platform. The approach is based on a biologically motivated attention system which is able to...
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ICIP
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a new method addressing the problem of template drift, a common phenomenon in which the target gradually shifts away from the template in object tracking. Much effort h...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...
NIPS
2004
15 years 1 months ago
2004
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...