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MVA 2018 : Special Issue on Human Abnormal Behavioural Analysis (Machine Vision and Applications Journal)

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When N/A
Where N/A
Submission Deadline Apr 18, 2018
Notification Due Jul 31, 2018
Categories    computer vision   behavioural analysis   abnormal
 

Call For Papers

~ Call for Papers~
Machine Vision and Applications Journal


Special Issue on Human Abnormal Behavioural Analysis

This special issue concentrates on novel vision-based approaches for Human Abnormal Behavioural Analysis. We focus on all forms of behaviours and all kinds of atypical activities, so, the considered subjects of interest cover a wide area. Encompassing indirectly related topics assisting the development on the foregoing matter as well, which mainly belong to broader categories such as computer vision and machine learning, benefiting from others being partially related to the issue in the aforementioned multidisciplinary context.

Topics:
We encourage submissions including (but not limited to) the following topics:
• Micro Expression recognition for abnormal behavior analysis
• Abnormal activity recognition
• Abnormal gesture recognition
• Hidden emotion recognition
• 2D and 3D biometric recognition for abnormal behavior analysis
• Vision-based multi-modal approaches for abnormal behavior analysis
• Emotion recognition in crowd
• Fake expression recognition
• Early recognition for abnormal behavior analysis in surveillance visual systems
• Outlier detection in e-health visual systems

Important dates:
Manuscript Due: April 06, 2018 (last extension)
First notification: May 30, 2018
Final Decision: July 31, 2018
Publication Date: September 31, 2018

You can submit your manuscript via https://www.editorialmanager.com/mvap . The format of the paper and page limits are the same as the MVAP regulations.


Guest editors:
Gholamreza Anbarjafari (University of Tartu, Estonia), Sergio Escalera (UB, CVC, Barcelona, Spain), Kamal Nasrollahi (Aalborg University, Denmark), Hugo Jair Escalante (INAOE, Mexico), Xavier Baró (UOC, Barcelona, Spain), Jun Wan (NLPR- CASIA, Beijing, China), Thomas Moeslund (Aalborg University, Denmark)

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