G. Rigoll

Publications641
h-index53
Citations13,388
Highly Influential Citations884
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Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
TLDR
In this paper, a novel method for foreground segmentation is presented that follows a non-parametric background modeling paradigm, thus the background is modeled by a history of recently observed pixel values and the background update is based on a learning parameter.
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SVC2004: First International Signature Verification Competition
TLDR
The First International Signature Verification Competition (SVC2004) recently was organized as a step towards establishing common benchmark databases and benchmarking rules and the experience gained will be very useful to similar activities in the future.
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A deep convolutional neural network for video sequence background subtraction
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Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
TLDR
Results employing six standard databases in a cross-corpora evaluation experiment show the crucial performance inferiority of inter to intracorpus testing and investigates different types of normalization.
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The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits
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Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture
TLDR
A novel approach to the combination of acoustic features and language information for a most robust automatic recognition of a speaker's emotion by applying belief network based spotting for emotional key-phrases is introduced.
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Acoustic emotion recognition: A benchmark comparison of performances
TLDR
The largest-to-date benchmark comparison under equal conditions on nine standard corpora in the field using the two pre-dominant paradigms is provided, finding large differences are found among corpora that mostly stem from naturalistic emotions and spontaneous speech vs. more prototypical events.
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Hidden Markov model-based speech emotion recognition
TLDR
The paper addresses the design of working recognition engines and results achieved with respect to the alluded alternatives and describes a speech corpus consisting of acted and spontaneous emotion samples in German and English language.
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Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking
TLDR
This work presents a combined maximum a posteriori (MAP) formulation, which jointly models multicamera reconstruction as well as global temporal data association, and a flow graph is constructed, which tracks objects in 3D world space.
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2.5D gait biometrics using the Depth Gradient Histogram Energy Image
TLDR
The traditional Gait Energy Image is extended by including depth information, and a completely new feature is formed, which is called the Depth Gradient Histogram Energy Image (DGHEI).
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