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

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

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.172

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 proceeding › Conference contribution book

22 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 language	English
Title of host publication	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)
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Pages	1154-1157
Number of pages	4
ISBN (Print)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.172
Publication status	Published - 22 Dec 2015
Event	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 Duration: 26 Oct 2015 → 28 Oct 2015

Conference

Conference	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
Country/Territory	United Kingdom
City	Liverpool
Period	26/10/15 → 28/10/15

Keywords

animal detection
computer vision
Kinect
livestock monitoring

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10.1109/CIT/IUCC/DASC/PICOM.2015.172

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). 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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title = "Automatic animal detection from Kinect sensed images for livestock monitoring and assessment",

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.",

keywords = "animal detection, computer vision , Kinect, livestock monitoring",

author = "Qiming Zhu and Jinchang Ren and David Barclay and Samuel McCormack and Willie Thomson",

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publisher = "IEEE",

note = "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 ; Conference date: 26-10-2015 Through 28-10-2015",

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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 proceeding › Conference 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

Y1 - 2015/12/22

N2 - 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.

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

KW - computer vision

KW - Kinect

KW - livestock monitoring

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U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.172

DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.172

M3 - Conference contribution book

AN - SCOPUS:84964285604

SN - 9781509001545

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EP - 1157

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)

PB - IEEE

CY - Piscataway, N.J.

T2 - 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

Y2 - 26 October 2015 through 28 October 2015

ER -

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

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

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Keywords

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