Face detection and authentication in a large space

Ying Nong Chen, Gang Feng Ho, Kuo Chin Fan, Chin Chuan Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Moving pedestrians are too small to grab the clear and recognizable face images in current surveillance systems. In this study, a face detection/indexing scheme has been developed using a dual-camera based capturing module in a large open space. Two cameras, a 'sense' camera and an 'object' one, are calibrated and cooperated. This device not only tracks multiple targets but also gets the close-up snapshot images. Face images with clear and high quality are grabbed and collected at the enrollment stage. A personal feature space and a threshold are constructed for effectively verifying the legality of an entrant. Some experimental results are given to show the validity of the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages423-426
Number of pages4
DOIs
StatePublished - 2007
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
Duration: 26 Nov 200728 Nov 2007

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume2

Conference

Conference3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
Country/TerritoryTaiwan
CityKaohsiung
Period26/11/0728/11/07

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