NDLI: Estimating the density of the people and counting the number of people in a crowd environment for human safety

Content Provider	IEEE Xplore Digital Library
Author	Karpagavalli, P. Ramprasad, A.V.
Copyright Year	2013
Description	Author affiliation: ECE Dept., Anna Univ., Chennai, India (Ramprasad, A.V.) \|\| Dept. of ECE, Madurai under Anna Univ., Chennai, India (Karpagavalli, P.)
Abstract	The video-surveillance systems are popularly used in crowd monitoring and people detection in that crowd is estimated for security of humans in public places and also managing the resources. In India number of accidents have occurred due to crowd environment in public areas like Shopping malls, Airports, pilgrimage, Temples, Political Meetings etc.,. In order to avoid such accidents, we need to estimate the density of people in crowd environment. In this paper, our proposed method is divided into two fold. In first, we propose density estimation of the crowd size. Secondly, count the number of people in the crowd. As crowd density increases, the occlusion between the people also increases. In order to avoid such problem in crowd we can use Improved Adaptive K-GMM Background subtraction method to extract the exact foreground in real time applications to avoid the estimation problem. By applying boundary detection algorithm, we can estimate the size of the crowd. The number of people in a crowd is counted by using algorithm “canny edge detector”, “connected component labeling” method and “bounding box with centroid” method. This paper proposes a real time video surveillance system. Our proposed method is compared with existing method. The above proposed works are compared with different datasets like IBM, KTH, CAVIAR, PETS2009 and CROWD etc. It can be used for both testing and training phases. The aim of this work is to analyze performance of estimation and counting peoples with different datasets.
Sponsorship	IEEE Madras Sect.
Starting Page	663
Ending Page	667
File Size	843356
Page Count	5
File Format	PDF
ISBN	9781467348652
e-ISBN	9781467348669
DOI	10.1109/iccsp.2013.6577138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Connected Component Labeling Crowd density estimation Gaussian Mixture Model Spatio-Temporal Features Bounding Box with centroid Background Subtraction (BGS) Foreground(FG) Signal processing Canny Edge Detector Iron Artificial intelligence
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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