Translator Disclaimer
Paper
28 May 2013 Face detection at a distance with AdaBoost filtering and color-shape information
Author Affiliations +
Abstract
Face detection at a distance is very challenging because the image quality becomes low. This paper discusses a face detection method in the long distance with AdaBoost filtering and a false alarm reduction scheme. The false alarm reduction scheme is based on skin-color testing and variable edge mask filtering. The skin-color test involves the average RGB components of the window, followed by the binary cluster image generation. The binary cluster is composed of the alternative and null pixels according to color. The size of the edge mask is determined by the ellipse covering the binary cluster. The edge mask filters out false alarms by evaluating the contour shape of the object in the window. In the experiments, the false alarm reduction scheme is shown to be effective for face detection in images captured at a distance.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seokwon Yeom and Dong-Su Lee "Face detection at a distance with AdaBoost filtering and color-shape information", Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 87550I (28 May 2013); https://doi.org/10.1117/12.2015350
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

A robust human face detection algorithm
Proceedings of SPIE (January 13 2012)
Human face detection using motion and color information
Proceedings of SPIE (March 03 2008)
Fast skin color detector for face extraction
Proceedings of SPIE (February 25 2005)

Back to Top