Pattern Recognition in Video Processing

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

Manuscript Submission Information

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