Selected Papers from the 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-19)

Dear Colleagues,

The 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-19), 16–18 December in London, UK, seeks contributions on the development of automated surveillance systems, adaptive behaviours and machine learning methods by harnessing data generated from very different sources and with many different features, such as social networks, smart cities, etc., to tackle the vulnerability of public spaces and individuals.

The aim of this Special Issue is to include selected papers from the 2019 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-19) describing research from both academia and industry, on the recent advances in the theory, application and implementation of crime detection and prevention concepts, technologies and applications. Authors of selected highly qualified papers, presented at the conference, will be invited to submit extended versions of their original papers (at least 50% extensions of contents of the conference paper with significantly different title, abstract and contents) to be fully peer-reviewed and contributions under the following conference topics:

• Surveillance systems and solutions (system architecture aspects, operational procedures, usability, scalability)
• Multicamera 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, multicamera 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

Accepted papers (after peer review) will be published immediately.

Prof. Dr. Sergio A. Velastin
Dr. Epaminondas Kapetanios
Dr. Anastasia Angelopoulou
Prof. Izzet Kale
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.