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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15422

Title: Face Detection and Count Estimates in Surveillance Color Images
Authors: Mona F.M. Mursi
Ghazy M.R. Assassa
Abeer Al-Humaimeedy
Khaled Alghathbar
Keywords: Face detection, color segmentation, face pattern (ellipse).
Issue Date: 2009
Publisher: Egyptian Computer Science Journal
Abstract: Face detection has various applications in many areas, an important example of which is security- related surveillance in confined areas. Once an image is analyzed for faces detection, the faces in the image are tallied. In this paper, color segmentation is used as a first step in the face detection process followed by grouping likely face regions into clusters of connected pixels. Median filtering is then performed to eliminate the small clusters and the resulting blobs are matched against a face pattern (ellipse) subjected to constraints for rejecting non-face blobs. The system was implemented and validated via numerical test cases for images with different formats, sizes, number of people, and complexity of the image background. Numerical results suggest that the proposed approach correctly detects and counts non-dark faces with reasonable background complexity.
URI: http://hdl.handle.net/123456789/15422
Appears in Collections:College of Computer and Information Sciences

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