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» Clustering Moving Objects via Medoid Clusterings
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ACCV
2009
Springer
14 years 2 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...
SIGGRAPH
1997
ACM
13 years 12 months ago
Interactive update of global illumination using a line-space hierarchy
Interactively manipulating the geometry of complex, globally illuminated scenes has to date proven an elusive goal. Previous attempts have failed to provide interactive updates of...
George Drettakis, François X. Sillion
PDCN
2004
13 years 9 months ago
Caching large files by using P2P based client-cluster for web proxy cache
Many web cache systems and policies have been proposed. These studies, however, consider large sized objects less useful than small sized objects for the performance and evict the...
Kyungbaek Kim, Daeyeon Park
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 10 days ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
JMM2
2007
212views more  JMM2 2007»
13 years 7 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...