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» A comparative study of two object recognition methods
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CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
IROS
2007
IEEE
198views Robotics» more  IROS 2007»
15 years 10 months ago
Cooperation of heterogeneous, autonomous robots: A case study of humanoid and wheeled robots
Abstract— In this paper we present a case study of cooperation of a strongly heterogeneous robot team, composed of a highly articulated humanoid robot and a wheeled robot with la...
Jutta Kiener, Oskar von Stryk
CVPR
2012
IEEE
13 years 6 months ago
Coupling detection and data association for multiple object tracking
We present a novel framework for multiple object tracking in which the problems of object detection and data association are expressed by a single objective function. The framewor...
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit ...
ICCV
2003
IEEE
16 years 6 months ago
Reliable Recovery of Piled Box-like Objects via Parabolically Deformable Superquadrics
Automatic unloading of piled box-like objects is undoubtedly of great importance to the industry. In this contribution a system addressing this problem is described: We employ a l...
Dimitrios Katsoulas
UAI
2003
15 years 5 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...