310 search results - page 2 / 62 » MuFeSaC: Learning When to Use Which Feature Detector |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
FGR
2004
IEEE
13 years 9 months ago
2004
IEEE
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
BMVC
2010
13 years 3 months ago
2010
The Hough transform provides an efficient way to detect objects. Various methods have been proposed to achieve discriminative learning of the Hough transform, but they have usuall...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
DAGM
2007
Springer
13 years 9 months ago
2007
Springer
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...