Publication

Class-specific classifiers in audio-visual speech recognition

Publications associées (25)

Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hesam Sagha

Opportunistic activity and context recognition systems draw from the characteristic to use sensing devices according to a recognition goal at runtime that just happen to be available instead of pre-defining them at the design time of the system. Whenever a ...

2011

Making Action Recognition Robust to Occlusions and Viewpoint Changes

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Most state-of-the-art approaches to action recognition rely on global representations either by concatenating local information in a long descriptor vector or by computing a single location independent histogram. This limits their performance in presence o ...

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Learning Pose Invariant and Covariant Classifiers from Image Sequences

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Object tracking and detection over a wide range of viewpoints is a long-standing problem in Computer Vision. Despite significant advance in wide-baseline sparse interest point matching and development of robust dense feature models, it remains a largely op ...

EPFL2010

Overcoming Asynchrony in Audio-Visual Speech Recognition

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In this paper we propose two alternatives to overcome the natural asynchrony of modalities in Audio-Visual Speech Recognition. We first investigate the use of asynchronous statistical models based on Dynamic Bayesian Networks with different levels of async ...

2010

A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition

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Context and activity recognition in complex scenarios is prone to data loss due to disconnections, sensor failure, transmission problems, etc. This generally implies significant changes in the recognition performance. In the case of classifier fusion fault ...

2010