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ICIP
2003
IEEE
16 years 3 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
ACIVS
2009
Springer
15 years 8 months ago
Two-Level Bimodal Association for Audio-Visual Speech Recognition
This paper proposes a new method for bimodal information fusion in audio-visual speech recognition, where cross-modal association is considered in two levels. First, the acoustic a...
Jong-Seok Lee, Touradj Ebrahimi
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 7 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
ICRA
2005
IEEE
156views Robotics» more  ICRA 2005»
15 years 7 months ago
A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks
Abstract— Multiple-target tracking is a canonical application of sensor networks as it exhibits different aspects of sensor networks such as event detection, sensor information f...
Songhwai Oh, Luca Schenato, Shankar Sastry
CISS
2007
IEEE
15 years 6 months ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami