poster

Poster: A Real-time Cattle Recognition System using Wireless Multimedia Networks

Authors:

Santosh Kumar,

Sanjay Kumar Singh,

Tanima Dutta,

Hari Prabhat GuptaAuthors Info & Claims

MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion

Page 48

https://doi.org/10.1145/2938559.2948871

Published: 25 June 2016 Publication History

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Abstract

In this paper, we propose a cattle recognition system using wireless multimedia networks. The images are captured and transferred them to the server using Wi-Fi technology. The system performs image pre-processing on the muzzle point image of cattle to mitigate and filter the noise. The system uses support vector machine to classify the extracted feature of the muzzle images of cattle. We use a similarity score measurement for matching the muzzle points with the database. We also developed a prototype for evaluating the accuracy of the system.

References

[1]

H. P. Gupta, S. S. Bagi, and A. Uttav. Sensys-A sensor data sharing system for smart devices using bluetooth low energy. In CSAR workshop conjunction with ACM SenSys, pages 53--55, Seoul, South Korea, 2015.

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[2]

S. Kumar, S. Tiwari, and S. K. Singh. Face recognition of cattle: Can it be done? Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 86(2):137--148, 2016.

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Xu ZZhao YYin ZYu Q(2024)Optimized BottleNet Transformer model with Graph Sampling and Counterfactual Attention for cow individual identificationComputers and Electronics in Agriculture10.1016/j.compag.2024.108703218(108703)Online publication date: Mar-2024
https://doi.org/10.1016/j.compag.2024.108703
Tran DManh DVan Thanh PShankar AJoshi KTran D(2024)Real-time behavior recognition of animal: an IoT-based system design using acceleration dataMultimedia Tools and Applications10.1007/s11042-024-20309-5Online publication date: 7-Oct-2024
https://doi.org/10.1007/s11042-024-20309-5
Patel NJain HLonkar VSingh D(2023)Biometric-based Unique Identification for Bovine Animals — Comparative Study of Various Machine and Deep Learning Computer Vision Methods2023 Somaiya International Conference on Technology and Information Management (SICTIM)10.1109/SICTIM56495.2023.10105004(1-5)Online publication date: 24-Mar-2023
https://doi.org/10.1109/SICTIM56495.2023.10105004
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A Fast Cattle Recognition System using Smart devices
MM '16: Proceedings of the 24th ACM international conference on Multimedia

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Published In

MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion

June 2016

172 pages

ISBN:9781450344166

DOI:10.1145/2938559

General Chairs:
Rajesh Balan
Singapore Management University
,
Archan Misra
Singapore Management University
,
Program Chairs:
Landon Cox
Duke University
,
Yutaka Arakawa
NAIST
,
Xia Zhou
Dartmouth College
,
Robert LiKamWa
Rice University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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New York, NY, United States

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Published: 25 June 2016

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MobiSys'16: The 14th Annual International Conference on Mobile Systems, Applications, and Services

June 25 - 30, 2016

Singapore, Singapore

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Xu ZZhao YYin ZYu Q(2024)Optimized BottleNet Transformer model with Graph Sampling and Counterfactual Attention for cow individual identificationComputers and Electronics in Agriculture10.1016/j.compag.2024.108703218(108703)Online publication date: Mar-2024
https://doi.org/10.1016/j.compag.2024.108703
Tran DManh DVan Thanh PShankar AJoshi KTran D(2024)Real-time behavior recognition of animal: an IoT-based system design using acceleration dataMultimedia Tools and Applications10.1007/s11042-024-20309-5Online publication date: 7-Oct-2024
https://doi.org/10.1007/s11042-024-20309-5
Patel NJain HLonkar VSingh D(2023)Biometric-based Unique Identification for Bovine Animals — Comparative Study of Various Machine and Deep Learning Computer Vision Methods2023 Somaiya International Conference on Technology and Information Management (SICTIM)10.1109/SICTIM56495.2023.10105004(1-5)Online publication date: 24-Mar-2023
https://doi.org/10.1109/SICTIM56495.2023.10105004
M.S. Farrag M(2022)Biometrics of Aquatic AnimalsRecent Advances in Biometrics10.5772/intechopen.102957Online publication date: 27-Jul-2022
https://doi.org/10.5772/intechopen.102957
Kumar SSingh S(2019)Cattle Recognition: A New Frontier in Visual Animal Biometrics ResearchProceedings of the National Academy of Sciences, India Section A: Physical Sciences10.1007/s40010-019-00610-xOnline publication date: 7-May-2019
https://doi.org/10.1007/s40010-019-00610-x
Kumar SPandey ASai Ram Satwik KKumar SSingh SSingh AMohan A(2018)Deep learning framework for recognition of cattle using muzzle point image patternMeasurement10.1016/j.measurement.2017.10.064116(1-17)Online publication date: Feb-2018
https://doi.org/10.1016/j.measurement.2017.10.064
Kumar SDatta DSingh SSangaiah A(2018)An intelligent decision computing paradigm for crowd monitoring in the smart cityJournal of Parallel and Distributed Computing10.1016/j.jpdc.2017.03.002118(344-358)Online publication date: Aug-2018
https://doi.org/10.1016/j.jpdc.2017.03.002
Kumar SSingh SAbidi ADatta DSangaiah A(2018)Group Sparse Representation Approach for Recognition of Cattle on Muzzle Point ImagesInternational Journal of Parallel Programming10.1007/s10766-017-0550-x46:5(812-837)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10766-017-0550-x
Kumar SSingh SSingh RSingh AKumar SSingh SSingh RSingh A(2018)Biometric Methods for Animal: Recent Trends and Future ChallengesAnimal Biometrics10.1007/978-981-10-7956-6_8(223-243)Online publication date: 17-Mar-2018
https://doi.org/10.1007/978-981-10-7956-6_8
Kumar SSingh SSingh RSingh AKumar SSingh SSingh RSingh A(2018)Deep Learning Framework for Recognition of Cattle Using Muzzle Point Image PatternAnimal Biometrics10.1007/978-981-10-7956-6_6(163-195)Online publication date: 17-Mar-2018
https://doi.org/10.1007/978-981-10-7956-6_6
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A Fast Cattle Recognition System using Smart devices

Automatic identification of cattle using muzzle point pattern: a hybrid feature extraction and classification paradigm

Real-time recognition of cattle using animal biometrics

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