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People Count Estimation using Hybrid Face Detection Method

Publication Type : Conference Paper

Thematic Areas : Amrita e-Learning Research Lab

Publisher : Proceedings - 2016 International Conference on Information Science, ICIS 2016

Source : Proceedings - 2016 International Conference on Information Science, ICIS 2016, Institute of Electrical and Electronics Engineers Inc. (2017)

Url : https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85016024231&doi=10.1109%2fINFOSCI.2016.7845316&partnerID=40&md5=d08943014229ee23e6c45e9768dd07b4

ISBN : 9781509019861

Keywords : Face detection methods, Face detection technique, Face detector, Face recognition, False detections, Haar-like features, Image processing, Low illuminations, NPD Features, Number of peoples, Product development

Campus : Amritapuri

School : School of Engineering

Center : E-Learning

Department : E-Learning, Electrical and Electronics

Verified : Yes

Year : 2017

Abstract : pPeople counting systems have wide range of applications and it is a difficult task in image processing. Face detection techniques are widely used to count the presence of people in an image. In this paper we present a hybrid face detection method for people count by combining three efficient face detection methods - Normalized Pixel Difference (NPD) , haar classifier and haar classifier for profile face. NPD is a scale invariant method and its performance is good in difficult backgrounds and low illuminations. A combination of these three face detectors are used in order to improve the accuracy and to reduce false detections. Experimental results shows that our proposed hybrid method effectively count the number of people and reduced the false detection rates. The accuracy of the proposed method is up to 90.20%. © 2016 IEEE./p

Cite this Research Publication : A. Neethu, S. Narayanan, A., and Kamal Bijlani, “People Count Estimation using Hybrid Face Detection Method”, in Proceedings - 2016 International Conference on Information Science, ICIS 2016, 2017.

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