60 search results - page 1 / 12 » Making Good Features Track Better |
CVPR
1998
IEEE
14 years 6 months ago
1998
IEEE
This paper addresses robust feature tracking. We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic scheme for rejecting spurious features. We employ a si...
ICPR
2002
IEEE
13 years 9 months ago
2002
IEEE
Reliably tracking key points and textured patches from frame to frame is the basic requirement for many bottomup computer vision algorithms. The problem of selecting the features ...
IJMMS
2008
13 years 4 months ago
2008
We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Publication
Existing visual tracking methods are challenged by object and background appearance variations, which often occur in a long duration tracking. In this paper, we propose a combined ...
BPM
2009
Springer
13 years 11 months ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...