Special Issue "Vision-Based Human Activity Recognition"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2020.

Special Issue Editors

Dr. Juan José Pantrigo
Website1 Website2
Guest Editor
Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, 28933 Móstoles, Madrid, Spain
Interests: artificial intelligence; machine learning; deep learning; reinforcement learning; computer vision; exact and heuristic optimization methods; object detection; multiple object tracking; video surveillance; articulated motion tracking; vision-based human activity recognition; computer vision in transportation systems
Dr. Raúl Cabido
Guest Editor
Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, 28933 Móstoles, Madrid, Spain
Interests: computer vision; machine learning; deep learning; GPU computing; articulated human motion tracking; pose estimation; video surveillance; vision-based human activity recognition; 3D reconstruction

Special Issue Information

Dear Colleagues,

Human activity recognition is a research topic with increasing interest among the scientific community. The number of papers published in this subject has increased significantly in the last few years, and with the rise of new techniques, these systems can now deal with real-world conditions such as moving cameras, changing illumination conditions, etc. The potential applications of human activity recognition systems involve fields as sports, gaming, surveillance, smart environments, human­–machine interaction, image and video retrieval, and automatic video editing, to cite only a few. This Special Issue is intended to present a collection of representative scientific papers that give an idea of the current state-of-the-art of human activity recognition, focusing on methods, applications, and datasets.

Dr. Juan José Pantrigo
Dr. Raúl Cabido
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics is an international peer-reviewed open access monthly 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 1500 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.


  • Human action/activity/gesture recognition
  • Large datasets for action/activity/gesture recognition
  • Human action recognition using deep learning
  • Multisensor action recognition
  • Action recognition using depth maps or skeleton data
  • Recognition of human interactions
  • Human–object interaction recognition
  • Behavior recognition
  • Action recognition in the crowd
  • Early action prediction
  • Human action generation
  • Anomaly detection in surveillance videos

Published Papers

This special issue is now open for submission.
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