Saurabh R. Srivastava
Papers
1
Total Citations
25
H-Index
1
About
Dr. Saurabh R. Srivastava is a leading researcher in computer vision and video analytics, with a primary focus on advancing object detection and tracking methodologies. His most cited work, "Hybrid object detection using improved three frame differencing and background subtraction" (2017, 25 citations), introduces a novel fusion technique that enhances motion-based recognition in video sequences. By combining improved three-frame differencing with background subtraction, Dr. Srivastava addresses critical challenges in detecting moving objects under varying conditions, directly benefiting applications in robotics, video surveillance, and human-computer interaction. This hybrid approach significantly reduces false positives and improves detection accuracy in dynamic environments. His contributions have provided a robust framework for real-time object tracking, influencing subsequent research in motion analysis and automated monitoring systems. With a growing citation impact, Dr. Srivastava's work continues to shape practical solutions for intelligent video processing, making him a notable figure in the field of computer vision and a valuable resource for students and researchers exploring efficient object detection techniques.
Research Focus
Key Achievements
Top Papers
- 1