Automatic Sheep Counting by Multi-object Tracking

Xu, J; Yu, L; Zhang, J; Wu, Q

Automatic Sheep Counting by Multi-object Tracking

Xu, J

Yu, L

Zhang, J

Wu, Q

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020, 00, pp. 257-257
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Xu, J https://orcid.org/0000-0002-9102-3616
dc.contributor.author	Yu, L https://orcid.org/0000-0001-5260-885X
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-7240-3541
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483
dc.date	2020-12-01
dc.date.accessioned	2021-06-09T05:04:12Z
dc.date.available	2021-06-09T05:04:12Z
dc.date.issued	2020-12-01
dc.identifier.citation	Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020, 00, pp. 257-257
dc.identifier.isbn	9781728180670
dc.identifier.issn	1018-8770
dc.identifier.issn	2642-9357
dc.identifier.uri	http://hdl.handle.net/10453/149466
dc.description.abstract	Animal counting is a highly skilled yet tedious task in livestock transportation and trading. To effectively free up the human labour and provide accurate counts for sheep loading/unloading, we develop an auto sheep counting system based on multi-object detection, tracking and extrapolation techniques. Our system has demonstrated more than 99.9% accuracy with sheep moving freely in a race under optimal visual conditions.
dc.language	en
dc.publisher	IEEE
dc.relation	Meat and Livestock Australia Limited RDC
dc.relation.ispartof	Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
dc.relation.ispartof	IEEE International Conference on Visual Communications and Image Processing
dc.relation.isbasedon	10.1109/VCIP49819.2020.9301868
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Automatic Sheep Counting by Multi-object Tracking
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	China
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-06-09T05:04:11Z
pubs.finish-date	2020-12-04
pubs.publication-status	Published
pubs.start-date	2020-12-01
pubs.volume	00

Abstract:

Animal counting is a highly skilled yet tedious task in livestock transportation and trading. To effectively free up the human labour and provide accurate counts for sheep loading/unloading, we develop an auto sheep counting system based on multi-object detection, tracking and extrapolation techniques. Our system has demonstrated more than 99.9% accuracy with sheep moving freely in a race under optimal visual conditions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/149466