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» Entropy-Based Markov Chains for Multisensor Fusion
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JIRS
2000
121views more  JIRS 2000»
13 years 4 months ago
Entropy-Based Markov Chains for Multisensor Fusion
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
Albert C. S. Chung, Helen C. Shen
IJAR
2007
100views more  IJAR 2007»
13 years 4 months ago
Multisensor triplet Markov chains and theory of evidence
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
Wojciech Pieczynski
ICRA
2006
IEEE
145views Robotics» more  ICRA 2006»
13 years 10 months ago
Instrumenting Wireless Sensor Networks for Real-time Surveillance
— This paper considers the problem of tracking an unknown number of targets using a wireless sensor network for surveillance. In particular, we consider the case in which each se...
Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar ...
ICMI
2005
Springer
215views Biometrics» more  ICMI 2005»
13 years 10 months ago
Multimodal multispeaker probabilistic tracking in meetings
Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track th...
Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc ...