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» A Probabilistic Background Model for Tracking
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ECAI
2004
Springer
15 years 3 months ago
Qualitative Reasoning Feeding Back into Quantitative Model-Based Tracking
Tracking vehicles in image sequences of innercity road traffic scenes still constitutes a challenging task. Even if a-priori knowledge about the 3D shape of vehicles, of backgroun...
Christian Köhler, Artur Ottlik, Hans-Hellmut ...
BMCBI
2005
100views more  BMCBI 2005»
14 years 9 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
PCM
2004
Springer
127views Multimedia» more  PCM 2004»
15 years 3 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...
ICIP
2006
IEEE
15 years 11 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
CORR
2010
Springer
94views Education» more  CORR 2010»
14 years 9 months ago
Real-Time Multi-path Tracking of Probabilistic Available Bandwidth
Applications such as traffic engineering and network provisioning can greatly benefit from knowing, in real time, what is the largest input rate at which it is possible to transmit...
Frederic Thouin, Mark Coates, Michael Rabbat