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ICCV
2003
IEEE
14 years 28 days ago
The Catchment Feature Model for Multimodal Language Analysis
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
Francis K. H. Quek
ICPR
2010
IEEE
13 years 11 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
JVCA
2007
83views more  JVCA 2007»
13 years 7 months ago
Use of inertial sensors to support video tracking
One of the biggest obstacle to building effective augmented reality (AR) systems is the lack of accurate sensors that report the location of the user in an environment during arbi...
Michael Aron, Gilles Simon, Marie-Odile Berger
ICCV
2011
IEEE
12 years 7 months ago
Blurred Target Tracking by Blur-driven Tracker
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, E...
VRST
2010
ACM
13 years 5 months ago
Region-of-interest volumetric visual hull refinement
This paper introduces a region-of-interest visual hull refinement technique, based on flexible voxel grids for volumetric visual hull reconstructions. Region-of-interest refinemen...
Daniel Knoblauch, Falko Kuester