Call for paper: Virtual Special Issue “Biometrics in Smart Cities: Techniques and Applications (BI_SCI)”
摘要截稿:
全文截稿: 2020-05-20
影响因子: 3.255
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:人工智能 - 3区
Overview
Smart Cities aim at improving the daily life of the citizens, by upgrading the services in terms of mobility, communications and power efficiency. Also, by measuring and acquiring the habits of a specific subject, it is meant to offer specific user-oriented services. In this scenario, biometric recognition covers a privileged role. Researchers worldwide agree with the fact that biometric credentials are difficult to be stolen and do not need to be remembered, so making them suitable for on-the-move authentication or video surveillance applications in smart cities environments.
In order to be compliant with requirements of a really smart scenario, biometric recognition must be non-intrusive and transparent to the user, being also able to acquire data and information in ”in-the-wild” environment, thus providing a natural tool to customize the surrounding environment to user needs and attitudes.
Strong biometric traits like fingerprint or palmprint may work a in very limited range of possible applications. Conversely, contactless biometric traits, and more in particular soft biometrics, still represent an unexplored field of research in this sense.
The ever-increasing number of surveillance cameras everywhere and the unrestrainable growth in usage of wearable devices implies the number of facial images and video available will grow exponentially. These conditions pose the premises for a wide range of application fields dealing with tracking and pose estimation of people for gait and gender recognition, person re-identification in adverse and crowded scenes, biometric data fusion to improve recognition accuracy and so on. Recent deep neural network models have shown a significant improvement on still images and video sequences in these areas, but a wide set of open problems persists and to which solutions still have not been clearly defined.
The objective of this virtual special issue is to solicit and publish the latest advances on this topic which includes, but are not limited to, the following:
Contactless biometric recognition suitable for smart environments;
Face recognition in the wild;
Pose estimation and gait recognition;
Person re-identification in surveillance;
Voice recognition;
Liveness/Spoofing Detection for biometric attacks;
Continuous biometric authentication approaches;
Cloud-based biometrics databases;
Biometric Access Control to cloud services;
Biometric Systems for Cloud-based Architectures;
Mobile Biometrics and Cloud Computing;
Cloud-based Communication Protocols for Biometric Systems;