NDLI: The effectiveness of face detection algorithms in unconstrained crowd scenes

Content Provider	IEEE Xplore Digital Library
Author	Barr, J.R. Bowyer, K.W. Flynn, P.J.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA (Barr, J.R.; Bowyer, K.W.; Flynn, P.J.)
Abstract	The 2013 Boston Marathon bombing represents a case where automatic facial biometrics tools could have proven invaluable to law enforcement officials, yet the lack of robustness of current tools in unstructured environments limited their utility. In this work, we focus on complications that confound face detection algorithms. We first present a simple multi-pose generalization of the Viola-Jones algorithm. Our results on the Face Detection Data set and Benchmark (FDDB) show that it makes a significant improvement over the state of the art for published algorithms. Conversely, our experiments demonstrate that the improvements attained by accommodating multiple poses can be negligible compared to the gains yielded by normalizing scores and using the most appropriate classifier for uncontrolled data. We conclude with a qualitative evaluation of the proposed algorithm on publicly available images of the Boston Marathon crowds. Although the results of our evaluations are encouraging, they confirm that there is still room for improvement in terms of robustness to out-of-plane rotation, blur and occlusion.
Sponsorship	IEEE Comput. Soc.
Starting Page	1020
Ending Page	1027
File Size	1323759
Page Count	8
File Format	PDF
ISBN	9781479949854
DOI	10.1109/WACV.2014.6835992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Detectors Face detection Feature extraction Approximation algorithms Benchmark testing Cameras
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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