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Can I read An Overview of the Vision-Based Human Action Recognition Field on EtoBox?
An Overview of the Vision-Based Human Action Recognition Field by Fernando Camarena; Miguel Gonzalez-Mendoza; Leonardo Chang; Ricardo Cuevas-Ascencio is a Mathematics article available to read on EtoBox.
What is An Overview of the Vision-Based Human Action Recognition Field about?
Artificial intelligence’s rapid advancement has enabled various applications, including intelligent video surveillance systems, assisted living, and human–computer interaction. These applications often require one core task: video-based human action recognition. Research in human video-based human action recognition is vast and ongoing, making it difficult to assess the full scope of available methods and current trends. This survey concisely explores the vision-based human action recognition field and defines core concepts, including definitions and explanations of the common challenges and most used datasets. Additionally, we provide in an easy-to-understand manner the literature approaches and their evolution over time, emphasizing intuitive notions. Finally, we explore current research directions and potential future paths. The core goal of this work is to provide future works with a shared understanding of fundamental ideas and clear intuitions about current works and find new research opportunities.
Who reads An Overview of the Vision-Based Human Action Recognition Field?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Fernando Camarena; Miguel Gonzalez-Mendoza; Leonardo Chang; Ricardo Cuevas-Ascencio
- Publisher
- MDPI AG
- Published
- 2023
- Language
- EN
- Field
- Mathematics (Physical Sciences)