Title :
A RGBI imager based background suppression method
Author :
Huang, Songtao ; Giacalone, Jean-Pierre ; Fan, Wensheng
Author_Institution :
Vision group in Sensata Technol., Boston, MA
Abstract :
Driver monitor systems have attracted the attention of researchers in the last decades, where face localization and face detection are essential process for the whole system. Various methods have been proposed to approach this problem. Background suppression is an important stage to make the face localization process faster and more reliable. Here we propose a novel multiple channel imager based background suppression method, which outperforms the conventional pulsed active IR system at several aspects, such as simplicity of circuit, performance and avoidance of motion artifact.
Keywords :
face recognition; infrared imaging; traffic engineering computing; RGBI imager based background suppression method; driver monitor systems; face detection; face localization; motion artifact; Computational efficiency; Driver circuits; Eyes; Face detection; Face recognition; Humans; Infrared detectors; Road safety; Vectors; Vehicle safety;
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2008.4621185