1757 search results - page 321 / 352 » Computer vision tracking of stemness |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
JMIV
2008
13 years 8 months ago
2008
Vector fields arise in many problems of computer vision, particularly in non-rigid registration. In this paper, we develop coupled partial differential equations (PDEs) to estimat...
ICCV
2011
IEEE
12 years 1 days ago
2011
IEEE
Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object detection and object ...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...