Shubh Lakshmi Agrwal
Papers
2
Total Citations
42
H-Index
2
About
Shubh Lakshmi Agrwal is a researcher specializing in computer vision, with a particular focus on moving object detection and tracking in video sequences. Her work addresses critical challenges in video surveillance, robotics, and human-computer interaction by developing efficient and robust detection methodologies. Agrwal’s major contributions include the introduction of a hybrid object detection approach that combines improved three-frame differencing with background subtraction, significantly reducing the "hole" problem inherent in two-frame techniques. She further advanced the field with an optimized dynamic background subtraction technique, which outperforms static background methods by adapting to changing environments. Her most-cited paper, "Hybrid object detection using improved three frame differencing and background subtraction" (2017), has garnered 25 citations, while her follow-up work on dynamic background subtraction (2017) has received 17 citations, reflecting the practical relevance of her algorithms. By enhancing motion-based recognition accuracy and computational efficiency, Agrwal’s research provides foundational tools for real-time applications, making her a notable contributor to the evolution of automated video analysis.
Research Focus
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Top Papers
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