— We propose a method for automatic emotion recognition as part of the FERA 2011 competition [1] . The system extracts pyramid of histogram of gradients (PHOG) and local phase qu...
Abhinav Dhall, Akshay Asthana, Roland Goecke, Tom ...
The problem of shape-based recognition of objects under affine transformations is considered. We focus on the construction of a robust and highly discriminative affine invariant...
Action recognition is becoming an important component of many computer vision applications such as video surveillance, video indexing and browsing. However most of the space time ...
This paper describes the design and development of a set of signal processing software tools for speech recognition. The tools were developed for inclusion in a comprehensive publ...
Hualin Gao, Richard Duncan, Julie Baca, Joseph Pic...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...