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» A Framework for Structured Distributed Object Computing
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ICIP
2005
IEEE
14 years 9 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
WORDS
2003
IEEE
14 years 1 months ago
Object and Process Migration in .NET
Most of today’s distributed computing systems in the field do not support the migration of execution entities among computing nodes during runtime. The relatively static associa...
Peter Tröger, Andreas Polze
VISUALIZATION
1997
IEEE
14 years 1 days ago
Multiresolution tetrahedral framework for visualizing regular volume data
We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
Yong Zhou, Baoquan Chen, Arie E. Kaufman
CVPR
2009
IEEE
15 years 3 months ago
Linear Embeddings in Non-Rigid Structure From Motion
This paper proposes a method to recover the embedding of the possible shapes assumed by a deforming nonrigid object by comparing triplets of frames from an orthographic video se...
Vincent Rabaud (University of California, San Dieg...
ICPR
2006
IEEE
14 years 9 months ago
Non-overlapping Distributed Tracking using Particle Filter
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
Fee-Lee Lim, Tele Tan, Wilson S. Leoputra