SPAR 2014 - Symposia on Signal Processing Applications Related to Animal Environments

This symposium will focus on signal processing related to animal sounds and monitoring in domestic situations and in unstructured, wild conditions. Multiple research groups have begun to explore using signal processing of the sound scape to provide information about animal activity, environmental conditions, or animal health and welfare. This area of research builds on a variety of signal processing and machine learning theory, but the challenges are significant since the signals of interest are often buried in noise that is both varied and often similar to the signals of interest. Furthermore, the signals of interest are often expressed in conjunction with many other similar signals creating a chatter problem.
Topics of interest include:
Signal processing for monitoring domestic animal wellbeing
Automated monitoring of wildlife and environment
Signal features that capture environmental and non-speech information
Signal processing for detecting and classifying animal vocalizations in natural environments.
Examples of work in this area include automated monitoring of livestock based on animal vocalizations for symptoms of stress; long-term monitoring of an outdoor region to determine the types of wildlife present and their activity patterns, automated detection of nuisance animals such as geese in infields or parks. This symposium will provide a unique forum to bring together researchers across different but closely related fields for stimulating synergistic interactions and disseminating new results.
Keynote Speakers
Organizers
Chairs
Wayne Daley, Georgia Tech Research Institute, USA
Doug Britton, Georgia Tech Research Institute, USA
David Anderson, Georgia Institute of Technology, USA
TPC Members
Bruce Webster, University of Georgia, USA
Casey Ritz, University of Georgia, USA
Michael Darre, University of Connecticut, USA
Contacts
Contacts: For all inquiries and questions please contact Dr. Doug Britton, doug.britton-AT-gtri.gatech.edu