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» Boosting Object Detection Using Feature Selection
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TIP
2010
129views more  TIP 2010»
15 years 10 days ago
Registering Aerial Video Images Using the Projective Constraint
To separate object motion from camera motion in an aerial video, consecutive frames are registered at their planar background. Feature points are selected in consecutive frames an...
Brian P. Jackson, A. Ardeshir Goshtasby
SIGMOD
2010
ACM
323views Database» more  SIGMOD 2010»
15 years 6 months ago
Boosting spatial pruning: on optimal pruning of MBRs
Fast query processing of complex objects, e.g. spatial or uncertain objects, depends on efficient spatial pruning of the objects’ approximations, which are typically minimum bou...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...
CVPR
2001
IEEE
16 years 4 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
IROS
2007
IEEE
137views Robotics» more  IROS 2007»
15 years 8 months ago
Part based people detection using 2D range data and images
Abstract— This paper addresses the problem of people detection using 2D range data and omnidirectional vision. The range data is often used in robotics to detect person legs. Fir...
Zoran Zivkovic, Ben J. A. Kröse
IJON
2006
146views more  IJON 2006»
15 years 1 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang