Segmentation and Counting of People Through Collaborative Augmented Environment

α
Kanchan Warke
Kanchan Warke
σ
Akhil Khare
Akhil Khare
ρ
Dr. Akhilesh Upadhayay
Dr. Akhilesh Upadhayay
α to σ Bharati Vidyapeeth Deemed University Bharati Vidyapeeth Deemed University

Send Message

To: Author

Segmentation and Counting of People Through Collaborative Augmented Environment

Article Fingerprint

ReserarchID

AO586

Segmentation and Counting of People Through Collaborative Augmented Environment Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

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
  1. S Lin,Y Chen,H Chao (2001). Estimation of number of people in crowded scenes using perspective transformation.
  2. T Zhao,R Nevatia (2004). Tracking multiple humans in complex situation.
  3. T Zhao,R Nevatia,B Wu (2007). Segmentation and tracking of multiple humans in crowded environment.
  4. Vijay Mahadevan,Nuno Vasconcelos (2008). Background subtraction in highly dynamic scenes.
  5. Wei Di,Rongben Wang (2009). Driver Eyes Identification Based on Infrared Illuminator.
  6. Matt Wheeler,M Zmuda (2000). Processing color and complex data using mathematical morphology.
  7. Emma Regentova,Shanhram Latifi,Shulan Deng,Yao (2002). An algorithm with reduced operations for connected components detection in ITU-T group 3/4 coded images.
  8. K Terada,D Yoshida,S Oe,J Yamaguchi (1999). A method of counting the passing people by using the stereo images.
  9. Senem Velipasalar,Ying-Li Tian,Arun Hampapur (2006). Automatic Counting of Interacting People by using a Single Uncalibrated Camera.
  10. T Zhao,R Nevatia (2003). Bayesian human segmentation in crowded situations.
  11. T Zhao,R Nevatia (2004). Tracking multiple humans in crowded environment.
  12. V Rabaud,S Belongie (2006). Counting Crowded Moving Objects.
  13. P Mehta,T Stonham (1996). A system for counting people in video images using neural networks to identify the background scene.
  14. T Schl¨ogl,B Wachmann,H Bischof,W Kropatsch (2003). People counting in complex scenarios.
  15. Antoni Chan,Zhang-Sheng John Liang,Nuno Vasconcelos (2008). Privacy preserving crowd monitoring: Counting people without people models or tracking.
  16. Dae Kim,Young-Seok Choi (2002). Multimodal Emotion Recognition Based on Global Information Fusion in Conversations.
  17. V Rabaud,S Belongie (2006). Counting Crowded Moving Objects.
  18. S Harasse,L Bonnaud,M Desvignes (2005). Human model for people detection in dynamic scenes.
  19. Dzmitry Tsishkou,Liming Chen,Eugeny Bovbel (2004). Semi-Automatic Ground Truth Annotation for Benchmarking of Face Detection in Video.

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. \u201cSegmentation and Counting of People Through Collaborative Augmented Environment\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 23): .

Download Citation

Issue Cover
GJCST Volume 11 Issue 23
Pg. 53- 57
Journal Specifications
Version of record

v1.2

Issue date

February 10, 2012

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 21304
Total Downloads: 10984
2026 Trends
Related Research

Published Article

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.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Segmentation and Counting of People Through Collaborative Augmented Environment

Akhil Khare
Akhil Khare Bharati Vidyapeeth Deemed University
Kanchan Warke
Kanchan Warke Bharati Vidyapeeth Deemed University
Dr. Akhilesh Upadhayay
Dr. Akhilesh Upadhayay

Research Journals