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» Adaptive Background Mixture Models for Real-Time Tracking
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FUZZIEEE
2007
IEEE
14 years 1 months ago
Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model
— This paper presents the fuzzy video based emotion recognition system VISBER, that allows to analyze facial expressions in video sequences. In order to process images in real-ti...
Natascha Esau, Evgenija Wetzel, Lisa Kleinjohann, ...
ISVC
2009
Springer
14 years 2 months ago
Real-Time Articulated Hand Detection and Pose Estimation
We propose a novel method for planar hand detection from a single uncalibrated image, with the purpose of estimating the articulated pose of a generic model, roughly adapted to the...
Giorgio Panin, Sebastian Klose, Alois Knoll
CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
14 years 25 days ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
PRICAI
2004
Springer
14 years 29 days ago
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
DAGM
2009
Springer
14 years 2 months ago
Localised Mixture Models in Region-Based Tracking
An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and backgr...
Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, J...