For a pdf version of the conference call for papers, please click here (we also have versions in size
and A2 for you to download, print and display at your institution to help us disemminate the conference).
The conference papers will be published by the IET (IET Digital Library) and indexed by INSPEC and normally also by
IEEE-Xplore and Scopus, provided that for each accepted paper at least one of the authors registers AND presents the work.
Authors of exceptional papers may be encouraged to submit extended versions to be considered for publication in an IET peer-reviewed journal (e.g. IET Computer Vision Journal,
IET Image Processing Journal or IET Biometrics Journal) and/or book.
There will be delegate fee discounts for authors, students and members of the sponsoring organisations.
AIMS AND SCOPE
Over recent years, the availability of much larger amounts of data, cheap parallel hardware such as GPU and new machine learning methods such as deep learning have made a significant impact on how data is interpreted. In the UK and worldwide, there is an increased interest to effectively analyse massive unbiased data, generated from very different sources and with many different features such as social networks, surveillance systems, smart cities, cyberphysical systems, address and find solutions on the vulnerability of public spaces and individuals. However, there are serious limitations to the use of conventional monitoring systems where human operators are asked to survey a large number of cameras with a wide geographical coverage or go through enormous amounts of recorded material for forensic investigations. We are keen to see how developments on complex systems, adaptive behaviours, and machine learning methods have impacted the field of crime detection and prevention in particular and the monitoring of public places in general. This conference follows the successful IDSS (Intelligent Distributed Surveillance Systems) events held in 2003 and 2004 and ICDP 2005, 2006, 2009, 2011, 2013, 2015, 2016 and 2017 to bring together researchers, industry, end-users, law-enforcement agencies and citizens groups to share experiences and explore areas where additional research and development are needed, identify possible collaboration and consider the societal impact of such technologies.
Full papers are invited on all aspects of Imaging Surveillance technologies, from academia, industry, NGOs and others, to be selected for oral presentations or posters through a peer-review system. An indicative, not exclusive, list of relevant topics is:
- Surveillance Systems and solutions (system architecture aspects, operational procedures, usability, scalability)
- Multi-camera systems
- Information fusion (e.g. from visible and infrared cameras, microphone arrays etc)
- Learning systems, Cognitive Systems Engineering and video mining
- Robust computer vision algorithms (24/7 operation under variable conditions, object tracking, multi-camera algorithms, behaviour analysis and learning, scene segmentation)
- Human Machine Interfaces, Human Systems Engineering and Human Factors
- Wireless communications and networks for video surveillance, video coding, compression, authentication, watermarking, location-dependent services
- Metadata generation, video database indexing, searching and browsing
- Embedded systems, surveillance middleware
- Gesture and posture analysis and recognition
- Biometrics (including face recognition)
- Forensics and crime scene reconstruction
- X-Ray and terahertz scanning
- Case studies, practical systems and testbeds
- Data protection, civil liberties and social exclusion issues
- Algorithmic bias and transparency for machine learning
- AI ethics
- Custom FPGA based approximate computing