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Novel motion capture technology could help vets diagnose lameness
The dogs wore special 'doggie motion' capture suits.

Method creates digital images of dogs without expensive equipment.

Researchers at the University of Bath have developed motion capture technology that could help vets diagnose lameness in dogs and monitor their recovery.

Widely-used in the entertainment industry, motion capture technology captures an actor's movements so that they can be turned into a 3D character on screen. The actor wears a suit covered in white markers, which are tracked by multiple cameras taking photographs from different angles.

Similar technology is also used by biomechanics experts to track the movement of elite athletes during training or to monitor rehabilitation from injuries. But this requires expensive equipment and dozens of white markers to be attached - especially when used with animals.

In this study, a team of computer scientists from CAMERA – the University of Bath's motion capture department - captured 3D information about dogs using a single RGBD camera. While normal digital cameras record the red, green and blue (RGB) colour in each pixel in an image, RGBD cameras also record the distance from the camera for each pixel.

The scientists used the technology to digitise the shape and movement of 14 different dog breeds wearing special 'doggie motion' capture suits. They then used the data to create a computer model that can accurately predict and replicate the poses of dogs that are not wearing a suit.

“This is the first time RGBD images have been used to track the motion of dogs using a single camera, which is much more affordable than traditional motion capture systems that require multiple cameras,” explained PhD researcher Sinéad Kearney. “This technology allows us to study the movement of animals, which is useful for applications such as detecting lameness in a dog and measuring its recovery over time."

She added that the research could also help the entertainment industry produce more authentic movement of virtual animals in films and video games. Dog owners may also be able to use it on their computers to make a 3D digital representation of their pets, she said.

The team has already tested the new method on computer-generated images of horses, cats, lions and gorillas, with promising results. Looking ahead, they hope to extend their animal dataset to make the results more accurate.

“While there is a great deal of research on automatic analysis of human motion without markers, the animal kingdom is often overlooked,” said Professor Darren Cosker, director of CAMERA.

“Our research is a step towards building accurate 3D models of animal motion along with technologies that allow us to very easily measure their movement. This has many exciting applications across a range of areas – from veterinary science to video games.”

 Image (C) University of Bath.

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FIVP launches CMA remedies survey

News Story 1
 FIVP has shared a survey, inviting those working in independent practice to share their views on the CMA's proposed remedies.

The Impact Assessment will help inform the group's response to the CMA, as it prepares to submit further evidence to the Inquiry Group. FIVP will also be attending a hearing in November.

Data will be anonymised and used solely for FIVP's response to the CMA. The survey will close on Friday, 31 October 2025. 

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News Shorts
CMA to host webinar exploring provisional decisions

The Competition and Markets Authority (CMA) is to host a webinar for veterinary professionals to explain the details of its provisional decisions, released on 15 October 2025.

The webinar will take place on Wednesday, 29 October 2025 from 1.00pm to 2.00pm.

Officials will discuss the changes which those in practice may need to make if the provisional remedies go ahead. They will also share what happens next with the investigation.

The CMA will be answering questions from the main parties of the investigation, as well as other questions submitted ahead of the webinar.

Attendees can register here before Wednesday, 29 October at 11am. Questions must be submitted before 10am on 27 October.

A recording of the webinar will be accessible after the event.