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CVPR
2005
IEEE
14 years 10 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah
ECCV
2010
Springer
12 years 2 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
TIP
2008
287views more  TIP 2008»
13 years 8 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
CVIU
2006
142views more  CVIU 2006»
13 years 8 months ago
Robust target detection and tracking through integration of motion, color, and geometry
Vision-based tracking is a basic elementary task in many computer vision-based applications such as video surveillance and monitoring, sensing and navigation in robotics, video co...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
ICCV
2009
IEEE
13 years 5 months ago
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Geometric verification with RANSAC has become a crucial step for many local feature based matching applications. Therefore, the details of its implementation are directly relevant...
Torsten Sattler, Bastian Leibe, Leif Kobbelt