Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World Call for Papers

Special Issue on Computer Vision Techniques Applied to 
Human Behaviour Analysis in the Real-World

Submission Information



Submission Deadline


The special issue is now open for submission. Accepted papers will be
published continuously in the journal (as soon as accepted) and will
be listed on the special issue website. Manuscripts can be submitted
until the 1st of August 2021.


Guest Editors


Dr. Oya Celiktutan, King’s College London, United Kingdom

Prof. Albert Ali Salah, Utrecht University, The Netherlands and Bogazici University, Turkey

Prof. Dongmei Jiang, Northwestern Polytechnical University, China 


About the Special Issue


Intelligent devices, such as smart wearables, intelligent vehicles,
virtual assistants and robots, are progressively becoming widespread
in many aspects of our daily lives, where effective interaction is
increasingly desirable. In such applications, the more information
exchanged between the user and the system through multiple modalities,
the more versatile, efficient and natural the interaction
becomes. Currently, modern intelligent devices do not take into
account the user state sufficiently into consideration and thus suffer
from lack of personalization and low engagement. In particular,
interaction logs and verbal data alone are not adequate for genuinely
interpreting human behaviours, and therefore there has been a
significant effort to analyse human behaviours from video
data. Although significant progress has been made so far, there is
still much room for improvement in moving from controlled and acted
settings to real-world settings. The key aim of this Special Issue is
to bring together cutting-edge research and innovative computer vision
techniques applied to human behaviour analysis, from the recognition
of gestures and activities to the interpretation of these cues at a
higher level for predicting cognitive, social and emotional
states. Special issue topics include, but are not limited to:

    Unsupervised, semi-supervised and supervised learning-based approaches to human behaviour analysis
    Face, gesture and body analysis
    Activity recognition and anticipation
    Affect and emotion recognition
    Interactive behaviour analysis, including multiparty interaction, human-computer interaction, human-robot interaction
    Multimodal behaviour analysis, in particular, combining vision with other modalities (e.g., audio, vital signs) 
    Societal and ethical considerations of human behaviour analysis, including explainability, bias, fairness, privacy
    Real-time systems for human behaviour analysis on devices with limited on-board computational power
    Databases and open-source tools for human behaviour analysis
    Applications in education, healthcare, smart environments, autonomous driving, or any related field


Article Processing Charges (APC) Information 


A limited number of 100% APC waivers or 50% discounts to reduce APC is
available for high-quality manuscripts and significant
contributions. For more information about APC, please see

We look forward to your contributions!


With many thanks & best regards, 
Guest Editors