Human Face and Motion Recognition in Video
This special issue belongs to the section "Computer Science & Engineering".
Special Issue Information
Dear Colleagues,
Recent interest in computer vision dealing with the analysis of image sequences involving humans. The most easily observable human features are the motion and the face. Human motion includes action, activity, and behavior, and the human face reveals various information, such as identity, gender, age, ethnicity, and emotional state. The potential applications of human motion and face recognition involve fields such as athletic performance analysis, clinical analysis, human–machine interaction, intelligent robots, video surveillance, and biometrics. There has been a great deal of progress made in these applications in the last few years with the rise of deep learning technologies. This Special Issue, “Human Face and Motion Recognition”, provides a platform for researchers and practitioners to present state-of-the-art and innovative algorithms, technologies, datasets, and applications.
Dr. Jang-Hee Yoo
Guest Editor
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Keywords
- Human pose estimation with deep learning
- Deep learning in face and motion analysis
- Face recognition and biometrics
- Facial expression and emotion recognition
- Age and gender estimation in video
- Human gait and behavior recognition
- Human recognition at a distance
- Forensic gait and facial identification
- Databases for face and motion recognition
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Published Papers
Electronics - ISSN 2079-9292