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» Adaptive eigen-backgrounds for object detection
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CVPR
2011
IEEE
13 years 1 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
CVPR
2007
IEEE
14 years 7 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele
IJRR
2010
214views more  IJRR 2010»
13 years 2 months ago
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
Over the last years, object detection has become a more and more active field of research in robotics. An important problem in object detection is the need for sufficient labeled ...
Kevin Lai, Dieter Fox
ICCCN
2007
IEEE
13 years 11 months ago
Motion-based Background Modeling for Moving Object Detection on Moving Platforms
— A method to detect moving objects on non-stationary background is proposed. The concurrent motions of foreground and background pixels make it extremely difficult to maintain a...
Ming-Yu Shih, Yao-Jen Chang, Bwo-Chau Fu, Chingchu...
VMV
2001
101views Visualization» more  VMV 2001»
13 years 6 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky