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» A Computational Framework for Handling Motion
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EMMCVPR
2005
Springer
14 years 1 months ago
Extraction of Layers of Similar Motion Through Combinatorial Techniques
In this paper we present a new technique to extract layers in a video sequence. To this end, we assume that the observed scene is composed of several transparent layers, that their...
Romain Dupont, Nikos Paragios, Renaud Keriven, Phi...
CVPR
1997
IEEE
14 years 9 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
AINA
2009
IEEE
14 years 2 months ago
Evaluation and Optimization of the Registrar Redundancy Handling in Reliable Server Pooling Systems
Abstract—The Reliable Server Pooling (RSerPool) architecture is the IETF’s new standard for a lightweight server redundancy and session failover framework to support availabili...
Xing Zhou, Thomas Dreibholz, Fu Fa, Wencai Du, Erw...
CVPR
2011
IEEE
13 years 4 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller
ICRA
2005
IEEE
119views Robotics» more  ICRA 2005»
14 years 1 months ago
Comparison of Alternate Methods for Distributed Motion Planning of Robot Collectives within a Potential Field Framework
– In this paper, we evaluate the performance of two candidate formulations for distributed motion planning of robot collectives within an Artificial Potential Field (APF) framewo...
Leng-Feng Lee, Rajankumar Bhatt, Venkat Krovi