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State-of-the-Art of Human Activity Recognition
This special issue belongs to the section “Artificial Intelligence“.
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
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.
Keywords
- 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
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Electronics - ISSN 2079-9292