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Frowd's research aims to understand the extent to which witnesses and victims of crime construct accurate facial composites (pictures of criminal's faces), and to develop techniques which maximize the effectiveness of composites, thus allowing the police to identify as many offenders as possible using this type of forensic evidence. The principal impact involves a software system (EvoFIT), a new interview (Holistic-Cognitive Interview, H-CI) and two formats (animated caricature and stretched composite) for the police to publish composites in the media. In the audit period, these advancements have been used by police forces in the UK, US, Romania and Israel.
Our research has made an outstanding contribution to the ability of police forces to apprehend criminal suspects, particularly in cases of serious violent crime. EvoFIT is a facial composite system (software and procedures), designed to help victims and witnesses of crime to create a likeness of the perpetrator's face. It was conceived by Professor Peter Hancock in the mid-1990s and has been developed into an effective system that is in use by police forces across the UK and abroad. Forces using EvoFIT have actively collaborated with assessment of the system, and evidence from field trials clearly demonstrates the impact: a world-leading 25-60% of composites made with EvoFIT directly lead to an arrest, four times better than the best previous system used by police forces. Our novel methods for interviewing witnesses and for presentation of composites have enhanced the success of EvoFIT, and are now incorporated in competitor composite systems used by other police forces.
Professor Tim Valentine is an expert in facial identification by eyewitnesses. His research has proved that video lineups provide more reliable evidence than live lineups. It has contributed to changes in the legal code of practice for eyewitness identification. He has trained hundreds of police officers and lawyers in the problems of witness identification, and acted as an expert witness in criminal cases. High-profile cases include Abdel Basset al-Megrahi (the Lockerbie bomber), Barry George (wrongly convicted of Jill Dando's murder) and Omar Deghayes, a British resident detained in Guantanamo Bay.
The Self-Administered Interview (SAI©) is a powerful evidence-based investigative interviewing tool designed to elicit comprehensive initial statements from multiple witnesses and victims, particularly in time- and resource-critical situations. Developed in the laboratory and tested in the field, the research underpinning the SAI© has resulted in changes in policy, professional practice and training activities within police forces internationally. Operationally, the SAI© has contributed to the investigation of major criminal incidents enabling investigators to collect information from witnesses in challenging situations. The SAI© has elicited critical leads and compelling evidence for Court proceedings — indicating public benefit arising from service improvements.
The development of a robust criminal justice system is vital in any civilised society and benefits victims, witnesses, police, suspects, and the general public. Research in the Department of Psychology at Royal Holloway, University of London has investigated fundamental principles underlying memory retrieval in the context of criminal justice scenarios in which memory may be particularly vulnerable. This research has had major impacts on the way in which police interview witnesses to a crime, and on the way in which video identification parades are conducted. It has also led indirectly to significant developments in the way in which evidence from very young children is treated in court.
The University of Portsmouth research into effective use of the Cognitive Interview (CI) by police forces in the UK and overseas has led to recommendations for changes to training of police officers in this field throughout their careers being adopted in several countries across the world. The work, led by Dr Becky Milne, has also been used to inform the decision making processes of a variety of national policy reviews and professional bodies. Research has improved the standard of interviewing, particularly for sensitive investigations such as rape and child abuse.
Changes to the law in the early 1990s removed the need for corroborating or physical evidence in abuse cases and allowed videotaped evidence of a child or other vulnerable witnesses to be used in a criminal court. This necessitated the drawing up of guidance to help police officers and other judicial practitioners, gather crucial evidence while minimising unintentional influence. Research at Leicester has underpinned work to assess and improve the effectiveness of this guidance and to create a framework of procedural best practice. This has influenced and directed the formation of protocols and training development of practitioners for uniform, fair and reliable investigative interviewing of vulnerable witnesses and for accurate identification and interrogative interviewing of suspects in the UK and through the sharing of best practice, across the UK and internationally.
Research conducted within the School of Physical Sciences (SPS) at the University of Kent has led to the development and successful commercialisation of facial identification software named EFIT-V. First sold in 2007, this software is now used by more than 70 police forces internationally and has revolutionized the way eyewitnesses and victims of crime create computerised facial likenesses of offenders. These images are circulated to police intelligence units, and the general public, leading to the identification and arrests of offenders. Police Identification rates have jumped from 5% to 55% as a result of this software. With a current annual turnover exceeding £250K, which is projected to reach £600K by 2015, Kent spinout company Visionmetric has made significant impact with EFIT-V, and achieved a position of commercial dominance in the UK, and around the world.
Research in biometrics carried out at Surrey since 1995 has generated IP relating to a number of aspects of automatic face recognition, which resulted in significant performance improvement, rendering this biometric technology commercially exploitable.
The advances made at Surrey include illumination invariant imaging, face detection/localisation using robust correlation, innovative face skin texture representation using a multiscale local binary pattern descriptor, a patented (and exceptionally compact) person specific discriminant analysis, facial component based matching, and patented multi-algorithmic fusion.
Through an IP agreement, these innovations have been commercially exploited by the University spinout company OmniPerception, which has developed products for various security applications.
Pioneering research by the Universities' Police Science Institute (UPSI) has made police more effective at understanding and responding to crime and disorder. UPSI's work has provided an evidence base about how to engage effectively with communities so that policing interventions target those issues influencing how people think, feel and act about their safety. Key impacts have been: changing Home Office policy for the policing of antisocial behaviour across England and Wales; informing the Prevent counter-terrorism strategy for the UK and overseas and improving the outcomes of South Wales Police's Neighbourhood Policing Teams.