Within the scope of the research programme we will develop new measurement procedures to widen the acredited range and lower the measurement uncertainty of the measurements, thus the laboratory will meet requirements needed by the the industry and research institutes. We will test the separation of instantaneous and convolutive signal mixtures with the methods for blind source signal separation. The signals will be simulated or recorded in real environment. We will analyse the possibilities for accreditation in the field of acoustic measurements for which we have the measurement equipment and anechoic chamber. In the frame of the research programme we will put our special attention to the further development of speech technologies for the Slovenian language, which will enable multimodal communications with modern intelligent systems in the Slovenian language and the feasibility to develop of personal authentication systems based on a combination of several human physical and/or behavioural characteristics.
The goal of the project is to develop new technique for the processing of biometric data.
De-identification in multimedia content can be defined as the process of concealing the identities of individuals captured in a given set of data (images, video, audio, text), for the purpose of protecting their privacy. This will provide an effective means for supporting the EU’s Data Protection Directive (95/46/EC), which is concerned with the introduction of appropriate measures for the protection of personal data. The fact that a person can be identified by such features as face, voice, silhouette and gait, indicates the de-identification process as an interdisciplinary challenge, involving such scientific areas as image processing, speech analysis, video tracking and biometrics. This Action aims to facilitate coordinated interdisciplinary efforts (related to scientific, legal, ethical and societal aspects) in the introduction of person de-identification and reversible de-identification in multimedia content by networking relevant European experts and organisations.
COST Action IC 1307: The European Network on Integrating Vision and Language (iV&L Net): Combining Computer Vision and Language Processing For Advanced Search, Retrieval, Annotation and Description of Visual Data
The European Network on Integrating Vision and Language (iV&L Net): Combining Computer Vision and Language Processing For Advanced Search, Retrieval, Annotation and Description of Visual Data, COST Action IC1307, is designed to bring together two previously unconnected research communities, Computer Vision (CV) and Natural Language Processing (NLP). It is set up to allow researchers to meet, exchange ideas, expertise and technology, and form new partnerships.
Building on the successful EPSRC Network on Vision and Language (V&L Net), the aim of the COST Action is to create a lasting interdisciplinary research community situated at the nexus between language processing and computer vision. This is hugely important because of the explosive growth of visual and textual data (both on the World Wide Web and held in private repositories by diverse institutions and companies).
Completed/finished projects (selected, recent)
RESPECT seeks to investigate if the current and foreseeable implementation of ICTs in surveillance is indeed “in balance” and, where a lack of balance may exist or is perceived by citizens not to exist, the project explores options for redressing the balance through a combination of Privacy-Enhancing Technologies and operational approaches. Investigating at least five key sectors not yet tackled by other recent projects researching surveillance (CCTV, database mining and interconnection, on-line social network analysis, RFID& geo-location/sensor devices, financial tracking), RESPECT will also carry out quantitative and qualitative research on citizens’ awareness and attitudes to surveillance. RESPECT will produce tools that would enable policy makers to understand the socio-cultural as well as the operational and economic impact of surveillance systems. The project will also produce operational guidelines incorporating privacy by design approaches which would enable law enforcement agencies to deploy surveillance systems with lowest privacy risk possible and maximum security gain to citizens.
The SMART project addresses the questions of automated decision taking with respect to the “smart surveillance” technologies in a society where privacy and data protection are fundamental rights. The risks and opportunities inherent to the use of smart surveillance will be evaluated and a number of technical, procedural and legal options for safeguards will be developed. SMART aims to create a toolkit which would inform system designers, policy makers and legislative bodies across Europe and beyond.
“Forensics is the application of a broad spectrum of sciences to answer questions of interest to a legal system. This may be in relation to a crime or a civil action” [Wikipedia]. Since many such questions boil down to identifying, or verifying the identity, of people allegedly involved in some action, a clear relationship exists between forensics and biometrics. Biometrics developed a number of techniques which can clearly facilitate the identification of people involved in criminal actions or civil incidents. Thus, although the two communities have traditionally often operated in relative isolation, there are many scenarios where the synergic cooperation of multimodal biometrics and forensics can be successfully applied. To address such multifaceted areas it is important to develop an interdisciplinary network with complementary competences, to foster the birth of a new community which can develop novel technological solutions to crucial issues and new challenges in forensic science.
The Action promoted new partnerships, provided education and training, contributed to develop new standards and best practices, produced awareness of the potential benefits of advanced technologies for evidence analysis in forensic cases and stimulated improved mutual understanding of collaborative working models linking the academic and industrial sectors.
EU Social fund and MIZS post-doctoral Project: 3D Face Recognition in Real World Settings (3D-For-Real)
(Abstract available ony in slovenian) Kljub številnim raziskavam in dosegljivi literaturi na temo razpoznavanja 3D slik obrazov, ostaja razvoj in implementacija robustnega sistema za razpoznavanje obrazov v nenadzorovanih razmerah zajema 3D slik specifičen problem, ki zahteva rešitev vrste težav. Cilj raziskovalnega projekta je zato predlagati sistem za razpoznavanje 3D slik obrazov, ki bo omogočal zanesljivo razpoznavanje obrazov tudi v najzahtevnejših okoljih, to je v prisotnosti večjega števila motečih dejavnikov, ki so lahko navzoči pri zajemu 3D slik in vplivajo na izgled obrazov na 3D slikah. Osredotočili se bomo na razvoj postopkov za učinkovito reševanje problemov, ki nastanejo ob prisotnosti motečih dejavnikov. Posebno pozornost bomo namenili reševanju problemov robustnega razpoznavanja obrazov pri interakciji dejavnikov kot so zorni kot oz. orientacija obrazov, delna prekrivanja obraznega področja, izrazne spremembe in oddaljenost obrazov od senzorja.
- Postdoctoral project BAMBI: Biometric face recognition in ambient intelligence environments, 2011-2013
- EU FP7 HIDE: Homeland Security, Biomtric Identification & Personal Detection Ethics, 2008-2010
- National project AvID: Audiovisual speaker identification and speaker state recognition for secure communications, 2007-2009
- National project Laks – Lightweight cryptography, 2007-2009
- National project VoiceTran II – Portable multi-lingual speech communicator for the soldier of the 21st century, 2006-2008
- Bilateral cooperations with Croatia, China, Bulgaria, …
- COST Actions 275, 278