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» Occlusion tracking using logic models
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PR
2002
103views more  PR 2002»
13 years 7 months ago
Extracting moving shapes by evidence gathering
Many approaches can track objects moving in sequences of images but can su er in occlusion and noise, and often require initialisation. These factors can be handled by techniques ...
Michael G. Grant, Mark S. Nixon, Paul H. Lewis
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
2010
Springer
13 years 5 months ago
On Supervised Human Activity Analysis for Structured Environments
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...
Banafshe Arbab-Zavar, Imed Bouchrika, John N. Cart...
VMCAI
2010
Springer
14 years 4 months ago
Shape Analysis with Reference Set Relations
Tracking subset relations between the contents containers on the heap is fundamental to modeling the semantics of many common programing idioms such as applying a function to a sub...
Mark Marron, Rupak Majumdar, Darko Stefanovic, Dee...
WACV
2005
IEEE
14 years 28 days ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens