Application of 3-D imaging sensor for tracking minipigs in the open field test

Куликов, В. А.; Khotskin, Nikita V.; Nikitin, S. V.; Lankin, V. S.; Куликов, А. В.; Трапезов, О. В.

doi:10.1016/j.jneumeth.2014.07.012

Cited by 45 publications

(33 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We developed customized software to acquire raw depth images from both sensors. Although the Kinect sensor has been recently used for behavioral tracking in rats (31), pigeons (33), pigs (34), and human (35), we found that its spatial resolution was not sufficient for resolving pairs of mice, which are considerably smaller; in contrast, the Senz3D sensor's higher 3D resolution made it better suited for this application (Fig. S1).…”

Section: Resultsmentioning

confidence: 92%

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Hong

Kennedy

Burgos-Artizzu

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

273

234

View full text Add to dashboard Cite

A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new integrated hardware and software system that combines video tracking, depth sensing, and machine learning for automatic detection and quantification of social behaviors involving close and dynamic interactions between two mice of different coat colors in their home cage. We designed a hardware setup that integrates traditional video cameras with a depth camera, developed computer vision tools to extract the body "pose" of individual animals in a social context, and used a supervised learning algorithm to classify several well-described social behaviors. We validated the robustness of the automated classifiers in various experimental settings and used them to examine how genetic background, such as that of Black and Tan Brachyury (BTBR) mice (a previously reported autism model), influences social behavior. Our integrated approach allows for rapid, automated measurement of social behaviors across diverse experimental designs and also affords the ability to develop new, objective behavioral metrics.

show abstract

Section: Resultsmentioning

confidence: 92%

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Hong

Kennedy

Burgos-Artizzu

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

273

234

View full text Add to dashboard Cite

show abstract

“…1, 2). Отсутствие влияния пола на эмоциональное поведение в тесте «открытого поля» у мини-свиней этого возраста уже было показано ранее (Kulikov et al, 2014). Более необычным, по сравнению со свиньями заводских линий, оказывается отсутствие воз-растных адаптивных изменений в поведении у ремонтного молодняка.…”

Section: Discussionunclassified

“…Известны несколько работ по изу-чению у них способности к дискриминантному обучению, спонтанного поведения и привыкания к производствен-ным контактам с человеком, выполненных на небольшом числе животных (Tanida, Nagana, 1998;Tsutsumi et al, 2001;Lind et al, 2005;Sondergaard et al, 2007Sondergaard et al, , 2012. Получены предварительные данные по сравнительному изучению у мини-свиней ИЦиГ СО РАН эмоционального поведения в тесте «открытое поле» и реакции удаления от человека, подтвердившие, во-первых, мотивационную обусловленность этой реакции страхом к человеку и, во-вторых, ее взаимосвязь с разнообразием окрасок (Ланкин, Буиссу, 2001;Kulikov et al, 2014). Более детальные сведе-ния о поведении мини-свиней ИЦиГ отсутствуют.…”

unclassified

Factors contributing to the variation of the fearful withdrawal response to humans in minipigs bred at ICG SB R

Lankin¹,

Nikitin²,

Трапезов³

2015

Vestn. VOGiS

View full text Add to dashboard Cite

“…More practical solutions for a commercial environment use a single camera to measure lameness in 3D (Stavrakakis et al., 2015) and the height of pigs (i.e., lying down; Kulikov et al., 2014). …”

Section: Sensors For Measuring Pig Behaviourmentioning

confidence: 99%

Early detection of health and welfare compromises through automated detection of behavioural changes in pigs

Matthews

Miller

Clapp

et al. 2016

The Veterinary Journal

195

129

View full text Add to dashboard Cite

HighlightsRecent developments in automatically detecting compromised pig health and welfare.Five categories of behaviour are reviewed.Behaviours mapped to sensors that are feasible for automated detection.Progress towards levels of automation through detection, monitoring and fully automatic detection of behavioural change.Challenges for automated detection of behavioural changes are multifaceted and require trade-offs to develop such systems.

show abstract

Application of 3-D imaging sensor for tracking minipigs in the open field test

Cited by 45 publications

References 26 publications

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Factors contributing to the variation of the fearful withdrawal response to humans in minipigs bred at ICG SB R

Early detection of health and welfare compromises through automated detection of behavioural changes in pigs

Contact Info

Product

Resources

About