NDLI: Segmentation of sows in farrowing pens

Content Provider	IET Digital Library
Author	Tu, Gang Jun Karstoft, Henrik Pedersen, Lene Juul Jørgensen, Erik
Abstract	The correct segmentation of a foreground object in video recordings is an important task for many surveillance systems. The development of an effective and practical algorithm to segment sows in grayscale video recordings captured under commercial production conditions is described. The segmentation algorithm combines a modified adaptive Gaussian mixture model for background subtraction with the boundaries of foreground objects, which is obtained by using dyadic wavelet transform. This algorithm can accurately extract the shapes of a sow under complex environments, such as dynamic background and illumination changes as well as motionless foreground objects. About 97% of the segmented binary images in the validation data sets can be used to track sow behaviours, such as position, orientation and movement. The experimental results demonstrate that the proposed algorithm is able to provide a basis to detect and classify the sow behaviours in farrowing pens.
Starting Page	56
Ending Page	68
Page Count	13
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 1, Jan (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2012.0734
Journal	IET Image Processing
Publisher	The Institution of Engineering and Technology
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Adaptive Gaussian Mixture Model Background Subtraction Computer Vision And Image Processing Technique Dyadic Wavelet Transform Farrowing Pen Grayscale Video Recording Illumination Change Image Segmentation Integral Transforms Motionless Foreground Object Segmentation Optical, Image And Video Signal Processing Segmented Binary Image Sow Segmentation Surveillance System Video Recording Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Farrowing Pens for Individually Loose-Housed Sows: Results on the Development of the SowComfort Farrowing Pen

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Real-time wavelet transform with overlap of signal segments

Robust foreground detection in sudden illumination change

Video resolution enhancement by using discrete and stationary wavelet transforms with illumination compensation

Gyrator wavelet transform

Illumination invariant stationary object detection

Segmentation of sows in farrowing pens

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