Pattern Recognition in Video Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 117
Special Issue Editors
Interests: video processing; machine learning
Interests: video processing; machine learning
2. The State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, China
Interests: signal processing; fault feature extraction; fault prognosis; life prediction; fault transfer diagnosis; vision measurement; digital twin; energy harvesting for sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Video processing has become increasingly important due to the proliferation of video content in various domains, such as surveillance, entertainment, healthcare, and robotics. Pattern recognition techniques are crucial in extracting meaningful information from video data, enabling a wide range of applications. This Special Issue aims to showcase the latest advancements, research findings, and innovative solutions in pattern recognition for video processing.
We invite original research articles, review papers, and case studies that explore the intersection of pattern recognition and video processing. Topics of interest include, but are not limited to, the following:
- Object detection, tracking, and recognition in video;
- Action and activity recognition in video sequences;
- Facial expression analysis and emotion recognition in video;
- Gesture recognition and human–computer interaction in video;
- Video-based biometrics and person identification;
- Video anomaly detection and event recognition;
- Video segmentation and scene understanding;
- Video-based crowd analysis and behavior understanding;
- Deep learning techniques for video pattern recognition;
- Transfer learning and domain adaptation for video analysis;
- Multimodal fusion for video pattern recognition;
- Efficient algorithms and architectures for real-time video processing;
- Applications of pattern recognition in video surveillance, autonomous vehicles, sports analysis, and more.
We encourage submissions that present novel methodologies, innovative applications, and significant improvements over existing techniques, demonstrating strong theoretical foundations, comprehensive empirical evaluations, and practical impacts in real-world scenarios.
Dr. Mingliang Zhou
Dr. Xuekai Wei
Prof. Dr. Yi Qin
Guest Editors
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Keywords
- video pattern recognition
- object detection and tracking
- action and activity recognition
- facial expression analysis
- gesture recognition
- video anomaly detection
- deep learning for video analysis
- real-time video processing
- video surveillance applications
- autonomous vehicle perception
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