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» Context-Based Segmentation of Image Sequences
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ICPR
2006
IEEE
14 years 9 months ago
Measurement Function Design for Visual Tracking Applications
Extracting human postural information from video sequences has proved a difficult research question. The most successful approaches to date have been based on particle filtering, ...
Andrew W. B. Smith, Brian C. Lovell
ICIP
2009
IEEE
14 years 9 months ago
An Efficient Bayesian Framework For On-line Action Recognition
On-line action recognition from a continuous stream of actions is still an open problem with fewer solutions proposed compared to time-segmented action recognition. The most chall...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 2 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
SIBGRAPI
2008
IEEE
14 years 2 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...
SIAMIS
2008
174views more  SIAMIS 2008»
13 years 8 months ago
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
We consider the restoration of piecewise constant images where the number of the regions and their values are not fixed in advance, with a good difference of piecewise constant val...
Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki...