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» Clustering Moving Objects in Spatial Networks
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CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
EDBT
2010
ACM
185views Database» more  EDBT 2010»
13 years 9 months ago
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space
The availability of indoor positioning renders it possible to deploy location-based services in indoor spaces. Many such services will benefit from the efficient support for k n...
Bin Yang 0002, Hua Lu, Christian S. Jensen
EUROPAR
2008
Springer
13 years 9 months ago
Complex Queries for Moving Object Databases in DHT-Based Systems
Abstract. Distributed moving object database servers are a feasible solution to the scalability problem of centralized database systems. In this paper we propose a distributed inde...
Cecilia Hernández, M. Andrea Rodrígu...
CIKM
2009
Springer
14 years 8 days ago
Scalable continuous range monitoring of moving objects in symbolic indoor space
Indoor spaces accommodate large populations of individuals. The continuous range monitoring of such objects can be used as a foundation for a wide variety of applications, e.g., s...
Bin Yang 0002, Hua Lu, Christian S. Jensen
CORR
2007
Springer
137views Education» more  CORR 2007»
13 years 7 months ago
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data
: Cross-match spatially clusters and organizes several astronomical point-source measurements from one or more surveys. Ideally, each object would be found in each survey. Unfortun...
Jim Gray, Alexander S. Szalay, Tamas Budavari, Rob...