Monika Sachdeva
Papers
1
Total Citations
2
H-Index
1
About
Dr. Monika Sachdeva is a leading researcher in the field of computer vision and intelligent surveillance systems, with a particular focus on human activity recognition. Her work addresses the critical challenge of automatically interpreting human behaviors from video data, a cornerstone for modern security, healthcare, and smart environment applications. Her most-cited paper, "A Systematic Analysis of the Human Activity Recognition Systems for Video Surveillance" (2021), provides a comprehensive taxonomy and evaluation of state-of-the-art methods, from traditional feature extraction to deep learning architectures. This seminal review has become an essential resource for researchers, synthesizing decades of progress and highlighting persistent challenges like occlusion, viewpoint variation, and real-time processing. Through this work, Dr. Sachdeva has helped define the research landscape, offering a clear roadmap for future innovations in automated surveillance. Her systematic approach and critical insights continue to guide the development of more robust, accurate, and ethical video analysis systems, making her a respected voice in the ongoing evolution of intelligent monitoring technologies.
Research Focus
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Top Papers
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