<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/7952B28F-4180-426D-89F5-D252E42C1BBE" ns1:id="7952B28F-4180-426D-89F5-D252E42C1BBE"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/F22F38DB-CCCD-4C8A-B896-0748F2ECC837" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/09DF2F5A-82C7-411D-8723-60E691CF0FDC" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/09DF2F5A-82C7-411D-8723-60E691CF0FDC" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2024-04-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/FDE9E412-A905-4469-90A7-6548BDEA17F2" ns1:rel="FUND" ns1:start="2022-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10008168</ns2:identifier></ns2:identifiers><ns2:title>Queen Mary University of London and RTSW Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop a content-aware sports video analytics component capable of identifying the foreground objects and tracking the objects of interest using machine learning and related computer vision technologies.</ns2:abstractText></ns2:project>