Segmentation and Counting of People Through Collaborative Augmented Environment

Kanchan Warke

Segmentation and Counting of People Through Collaborative Augmented Environment

Kanchan Warke * §

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Segmentation and Counting of People Through Collaborative Augmented Environment

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Abstract

People counting system have wide potential application including video surveillance and public resources management. Also with rapid development of economic society, crowd flowing in varies public places and facility is more and more frequent. Effectively managing and controlling crowd in public places become an important issue. People counting system based on this kind of demand arises, which can be used in commercial domain such as market survey, traffic management as well as architectural design domain. For example suppose there is a crowd gathering at specific place then it indicates an unusual situation and second one if counting of people is done in shopping mall then it provides valuable information for optimizing trading hours, as well as evaluating the attractiveness of some shopping areas.

References

19 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Kanchan Warke. 1970. "Segmentation and Counting of People Through Collaborative Augmented Environment". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 23).

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GJCST Volume 11 Issue 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

architectural commercial domain frequent potential resources

Classification

GJCST Classification H.5.1

I.2.10

Submission ReceivedNovember 7, 2011
Peer Review Double Blind
Handling Editor
Accepted December 6, 2011
Published December 19, 2011

Version of record

v1.2

Issue date

February 10, 2012

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Akhil Khare,Kanchan Warke,Dr. Akhilesh Upadhayay (PhD/Dr. count: 1)

View Count (all-time): 253

Total Views (Real + Logic): 5893

Total Downloads (simulated): 515

Publish Date: 2011 12, Mon

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Total Views: 5.9K

Total Downloads: 515

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