NDLI: Online adaptive learning for multi-camera people counting

Content Provider	IEEE Xplore Digital Library
Author	Jingwen Li Lei Huang Changping Liu
Copyright Year	2012
Description	Author affiliation: Institute of Automation, Chinese Academy of Sciences (Jingwen Li; Lei Huang; Changping Liu)
Abstract	People counting has attracted much attention in video surveillance. This paper proposes an online adaptive learning people counting system across multiple cameras with partial overlapping Fields Of Views (FOVs). The main novelty of this system is that: 1) we propose an online adaptive learning scheme to detect and count people in order to make the system adaptive to various scenes. The system can online update the Gaussian Mixture Model (GMM) based classifier by collecting samples with high confidence automatically; 2) We present an approach to gather the number of people from multiple cameras. The system uses similarity measurement combined with homography transformation to find the corresponding people in overlapping FOVs and integrates the counting results of multiple cameras finally. Experimental results show that the proposed system can adapt to different scenes and count the pedestrians across multiple cameras accurately.
Starting Page	3415
Ending Page	3418
File Size	268756
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Cameras Adaptive systems Feature extraction Bayesian methods Trajectory Video surveillance
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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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