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» Modeling Herds and Their Evolvements from Trajectory Data
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TCSV
2008
291views more  TCSV 2008»
13 years 8 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
JCST
2007
151views more  JCST 2007»
13 years 8 months ago
Indexing Future Trajectories of Moving Objects in a Constrained Network
Abstract Advances in wireless sensor networks and positioning technologies enable new applications monitoring moving objects. Some of these applications, such as traffic managemen...
Ji-Dong Chen, Xiao-Feng Meng
ICANN
2009
Springer
14 years 3 months ago
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
AUSAI
2008
Springer
13 years 10 months ago
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata
Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
CVPR
1999
IEEE
14 years 10 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...