Authors:
Niyati Chhaya
and
Tim Oates
Affiliation:
University of Maryland and Baltimore County, United States
Keyword(s):
Face detection, Feature extraction, Triage images.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Disaster events like the attack on theWorld Trade Center in New York City in 2001 and the earthquake in Haiti in 2010 result in a desperate need for family and friends to obtain information about missing people. This can be facilitated by automatically extracting textual descriptors of patients from images taken at emergency triage centers. We show that existing face detection algorithms, a necessary precursor to extracting such descriptors, perform poorly on triage images taken during disaster simulations, and propose and demonstrate the superiority of an ensemble-based face detection method that is a combination of robust skin detection and simple pattern matching face detection techniques. The addition of a template-based eye detection method further improves the accuracy of our face detection method.