Title

Face detection and recognition using low quality video cameras

Date of Publication

2008

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Rigan P. Ap-apid

Defense Panel Member

Joel P. Ilao
Conrado D. Ruiz, Jr.

Abstract/Summary

Face detection and recognition are applications of image processing and analysis. Though several system have already been implemented to detect and recognize faces from image sequences, there are still problems being faced like having to recognize through a real surveillance. This is mostly because of the poor quality of images and diminutive size of the faces.

In this paper, the proponents present a simple and effective method to detect faces in low-quality video by using multi-module integration. The proponents combine skin detection module, template matching, and local face region analysis method into a single face detection system. In addition to that, a recognition module based on template matching using Pearson's Linear Correlation Coefficient is also discussed. Our results show that the combined face detection algorithm works fast and accurate in detecting faces with respect to the poor quality and sizes of faces."

Abstract Format

html

Language

English

Format

Print

Accession Number

TU14644

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

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