Automatic animal detection from Kinect sensed images for livestock monitoring and assessment

Qiming Zhu, Jinchang Ren, David Barclay, Samuel McCormack, Willie Thomson

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

15 Citations (Scopus)

Abstract

In this paper, Kinect based sensors are used to enable automatic animal detection for monitoring and assessment the growth of livestock. Benefitted from the fast developing 3-D machine vision devices and techniques, it is liable to detect the object using the point cloud data. In the present work, a Kinect sensor is installed on the roof of the pig pen to obtain the 3-D data. After thresholding the depth of each pixel, a depth image is generated where the objects within the depth range are extracted. Several shape based constraints are then applied to refine the detected object regions for accurate estimation of the size and weights for further process. Experimental results have validated the efficacy of the proposed approach.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)
Place of PublicationPiscataway, N.J.
PublisherIEEE
Pages1154-1157
Number of pages4
ISBN (Print)9781509001545
DOIs
Publication statusPublished - 22 Dec 2015
Event15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 - Liverpool, United Kingdom
Duration: 26 Oct 201528 Oct 2015

Conference

Conference15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
CountryUnited Kingdom
CityLiverpool
Period26/10/1528/10/15

Fingerprint

Agriculture
Animals
Monitoring
Sensors
Roofs
Computer vision
Pixels

Keywords

  • animal detection
  • computer vision
  • Kinect
  • livestock monitoring

Cite this

Zhu, Q., Ren, J., Barclay, D., McCormack, S., & Thomson, W. (2015). Automatic animal detection from Kinect sensed images for livestock monitoring and assessment. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM) (pp. 1154-1157). Piscataway, N.J.: IEEE. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.172
Zhu, Qiming ; Ren, Jinchang ; Barclay, David ; McCormack, Samuel ; Thomson, Willie. / Automatic animal detection from Kinect sensed images for livestock monitoring and assessment. 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM). Piscataway, N.J. : IEEE, 2015. pp. 1154-1157
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Zhu, Q, Ren, J, Barclay, D, McCormack, S & Thomson, W 2015, Automatic animal detection from Kinect sensed images for livestock monitoring and assessment. in 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM). IEEE, Piscataway, N.J., pp. 1154-1157, 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Liverpool, United Kingdom, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.172

Automatic animal detection from Kinect sensed images for livestock monitoring and assessment. / Zhu, Qiming; Ren, Jinchang; Barclay, David; McCormack, Samuel; Thomson, Willie.

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM). Piscataway, N.J. : IEEE, 2015. p. 1154-1157.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Automatic animal detection from Kinect sensed images for livestock monitoring and assessment

AU - Zhu, Qiming

AU - Ren, Jinchang

AU - Barclay, David

AU - McCormack, Samuel

AU - Thomson, Willie

PY - 2015/12/22

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AB - In this paper, Kinect based sensors are used to enable automatic animal detection for monitoring and assessment the growth of livestock. Benefitted from the fast developing 3-D machine vision devices and techniques, it is liable to detect the object using the point cloud data. In the present work, a Kinect sensor is installed on the roof of the pig pen to obtain the 3-D data. After thresholding the depth of each pixel, a depth image is generated where the objects within the depth range are extracted. Several shape based constraints are then applied to refine the detected object regions for accurate estimation of the size and weights for further process. Experimental results have validated the efficacy of the proposed approach.

KW - animal detection

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KW - livestock monitoring

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BT - 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)

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Zhu Q, Ren J, Barclay D, McCormack S, Thomson W. Automatic animal detection from Kinect sensed images for livestock monitoring and assessment. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM). Piscataway, N.J.: IEEE. 2015. p. 1154-1157 https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.172