Related Experiment Video
Updated: Jul 23, 2026

Transabdominal Ultrasound for Pregnancy Diagnosis in Reeves' Muntjac Deer
Published on: January 7, 2014
Prediction of the start of parturition in mares using camera image analysis
H Nabenishi1, T Tsuda2, Y Omoya3
1Laboratory of Animal Feeding and Management, Department of Animal Science, School of Veterinary Medicine, Kitasato University, Higashi 23-35-1, Aomori, 034-8628, Japan.
Abstract:
This study aimed to detect characteristic changes in the behavior and body surface temperature (BST) of pregnant mares before parturition using camera image analysis. A total of 53 pregnant Thoroughbred mares, which were individually stabled in box stalls, were included in this study. The mares were continuously monitored using a digital camera system comprising a thermal imaging camera and a visible camera. For the automatic determination of the x and y coordinates of each mare, the centroid of the mares was calculated using image processing software. Subsequently, trajectory analysis was performed using image analysis software. Distances moved were calculated using coordinate data. BST was measured using infrared thermography to measure the average BST. The difference between BST and ambient temperature was adopted to account for the influence of ambient temperature. On the day of beginning the expulsion phase (BEP), the distance moved by the pregnant mares increased significantly more than that 2 days before BEP and was the greatest at 2-1 h before BEP. Furthermore, BST at 6 h before BEP tended to increase as the BEP approached. A significant increase in BST was observed at 1-0 h (P < 0.05). 96.2% of the mares showed an increase in either activity or BST, which indicates the benefit of employing multiple parameters.
More Related Videos
06:22Ex Vivo Method for Assessing the Mouse Reproductive Tract Spontaneous Motility and a MATLAB-based Uterus Motion Tracking Algorithm for Data Analysis
Published on: September 1, 2019
08:07Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions
Published on: May 26, 2023