NDLI: Real-time multiple face detection of pedestrian using hybrid GA

Content Provider	IEEE Xplore Digital Library
Author	Suzuki, H. Minami, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Mech. Eng., Fukui Nat. Coll. of Technol., Japan (Suzuki, H.)
Abstract	There have been many attempts to realize human-like visual function by image processing. Methods for recognition and tracking of the human face are expected to be applied in security systems and in the field of ITS (intelligent transportation systems). This study was performed to construct a detection system capable of recognizing multiple people's faces in real time. We employed a hybrid GA (genetic algorithm) based on selective attention, which is the human visual function used to reduce processing load, to search for the position of a face in input images. The hybrid GA used random searching as a rough, preliminary search of the area, then used an improved GA to carefully search the target possibilities. These methods were combined by grouping to allow simultaneous detection of multiple faces in input images in real time. We confirmed the effectiveness of our proposed detection system by experiments involving detection of multiple targets.
Starting Page	708
Ending Page	713
File Size	546081
Page Count	6
File Format	PDF
ISBN	0780385004
DOI	10.1109/ITSC.2004.1398988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Humans Image recognition Face recognition Image processing Security Intelligent transportation systems Cameras Object detection Real time systems
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

Real-time face detection using hybrid GA based on selective attention

Multiple Targets Tracking Using Attention GA

Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification

Fast panoramic face mosaicing and recognition

Fast pedestrian detection Based on Adaboost and probability template matching

Real-Time Face Detection and Tracking for High Resolution Smart Camera System

Automatic face region tracking for highly accurate face recognition in unconstrained environments

Real-time integrated CCTV using face and pedestrian detection image processing algorithm for automatic traffic light transitions

ViSE: Visual Search Engine Using Multiple Networked Cameras

Real-time multiple face detection of pedestrian using hybrid GA

Similar Documents

Real-time face detection using hybrid GA based on selective attention

Multiple Targets Tracking Using Attention GA

Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification

Fast panoramic face mosaicing and recognition

Fast pedestrian detection Based on Adaboost and probability template matching

Real-Time Face Detection and Tracking for High Resolution Smart Camera System

Automatic face region tracking for highly accurate face recognition in unconstrained environments

Real-time integrated CCTV using face and pedestrian detection image processing algorithm for automatic traffic light transitions

ViSE: Visual Search Engine Using Multiple Networked Cameras

Real-time multiple face detection of pedestrian using hybrid GA