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» A Probabilistic Background Model for Tracking
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IJCV
2007
134views more  IJCV 2007»
13 years 7 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
TASLP
2011
13 years 2 months ago
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models
—We present a simple and efficient feature modeling approach for tracking the pitch of two simultaneously active speakers. We model the spectrogram features of single speakers u...
Michael Wohlmayr, Michael Stark, Franz Pernkopf
FSKD
2007
Springer
193views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Panoramic Background Model under Free Moving Camera
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
Naveed I. Rao, Huijun Di, Guangyou Xu
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...
ISVC
2009
Springer
14 years 6 days ago
Codebook-Based Background Subtraction to Generate Photorealistic Avatars in a Walkthrough Simulator
Foregrounds extracted from the background, which are intended to be used as photorealistic avatars for simulators in a variety of virtual worlds, should satisfy the following four ...
Anjin Park, Keechul Jung, Takeshi Kurata