NDLI: Fusing multi-feature representation and PSO-Adaboost based feature selection for reliable frontal face detection

Content Provider	IEEE Xplore Digital Library
Author	Hong Pan YaPing Zhu Liangzheng Xia
Copyright Year	2013
Description	Author affiliation: Sch. of Autom., Southeast Univ., Nanjing, China (Hong Pan; Liangzheng Xia) \|\| Dept. of Commun. Eng., Commun. Univ. of China, Beijing, China (YaPing Zhu)
Abstract	We propose a reliable frontal face detector based on multifeature descriptors and feature selection using PSO-Adaboost. Utilization of multiple heterogeneous feature descriptors enriches the diversity of feature types for face modeling and feature learning. To speed up the training process of face detector, we also propose a PSO-Adaboost algorithm that replaces exhaustive search used in original Adaboost framework with Particle Swarm Optimization (PSO) technique for efficient feature selection. Finally, a three-stage cascade classifier is developed to remove background rapidly. In particular, an initial stage is designed to detect candidate face regions more quickly by using a large size window with a large moving step. Radial Basis Function (RBF) SVM classifiers are used instead of decision stump functions in the last stage to remove those remaining complex non-face patterns that can not be rejected in the previous two stages. Combining these three effective modules, our face detector achieves a detection rate of 96.50% at ten false positives on the CMU+MIT frontal face dataset.
Starting Page	2998
Ending Page	3002
File Size	410345
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738617
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cascade classifiers Face detection Multi-feature representation PSO-Adaboost feature selection
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