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» A Novel Framework for Imaging Using Compressed Sensing
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ICIP
2005
IEEE
15 years 11 months ago
Visual tracking using sequential importance sampling with a state partition technique
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
Yan Zhai, Mark B. Yeary, Joseph P. Havlicek, Jean-...
MTA
2010
162views more  MTA 2010»
14 years 4 months ago
Combining spatial and temporal patches for scalable video indexing
This paper tackles the problem of scalable video indexing. We propose a new framework combining spatial and motion patch descriptors. The spatial descriptors are based on a multisc...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
MICCAI
2009
Springer
15 years 11 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
TCSV
2008
291views more  TCSV 2008»
14 years 9 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...
ICIP
2010
IEEE
14 years 7 months ago
Real-time interactive multi-target tracking using kernel-based trackers
Although kernel-based methods have been demonstrated effectively in solving single-target tracking problem, facing more complicated multi-target tracking task, most of them still ...
Guorong Li, Wei Qu, Qingming Huang