A fast eye localization and verification method to improve face matching in surveillance videos

Oliveira, Lucas Sousa de; Borges, Díbio Leandro; Vidal, Flávio de Barros; Chang, Lin‐Ching

doi:10.1109/icsmc.2012.6377832

Cited by 7 publications

(1 citation statement)

References 18 publications

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“…Face recognition usually exploit high-dimensional information which makes it computationally intensive. In addition, wrong detected features can make the recognition process even slower [1]. Thus, the interest in robust face recognition techniques to determine whether two facial images belong to same person is increasing rapidly.…”

Section: Introductionmentioning

confidence: 99%

Smart security system for sensitive area using face recognition

Chowdhry

Hussain

Rehman

et al. 2013

2013 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (CSUDET)

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Face recognition play a vital role in variety of applications from biometrics, surveillance, security, identification to the authentication. In this paper we design and implement a smart security system for restricted area where access is limited to people whose faces are available in the training database. First we are going to detect the face by detecting the human motion. Then face recognition is performed to determine the authority of the person to enter the sensitive area. At the same time, we track the coordinate of detected motion. Failing to recognize the face finally passes the estimated coordinate to anesthetic gun for targeting the intruder automatically. Experimental results demonstrate the effectiveness of proposed security system in order to restrict the unauthorized access and enhanced reliability by use of face recognition.

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Section: Introductionmentioning

confidence: 99%