Mahin Ramezani

Papers

Total Citations

H-Index

About

Mahin Ramezani is a computer vision researcher whose work centers on human motion recognition and video analysis. Her most-cited paper, "HMR-vid: a comparative analytical survey on human motion recognition in video data" (2020), has garnered 23 citations, establishing her as a key voice in this rapidly evolving field. In this comprehensive survey, Ramezani systematically reviewed and compared state-of-the-art methods for detecting, tracking, and interpreting human actions from video footage, offering a critical taxonomy that has guided subsequent research. Her contributions provide a foundational framework for understanding the challenges of spatiotemporal feature extraction, occlusion handling, and real-time processing in motion recognition systems. Beyond this seminal work, Ramezani’s research addresses practical applications in surveillance, human-computer interaction, and assistive technologies. Her analytical approach—combining rigorous benchmarking with clear methodological insights—has made her survey an essential reference for students and researchers seeking to navigate the complexities of video-based human motion analysis. Through her work, Ramezani continues to shape how machines perceive and interpret dynamic human behavior, driving innovation in intelligent video analytics.