Neha Srivastav
Papers
1
Total Citations
25
H-Index
1
About
Dr. Neha Srivastav is a computer vision researcher whose work focuses on advancing object detection and tracking methodologies for real-world applications. Her primary research areas include video surveillance, robotics, and human-computer interaction, where she develops efficient algorithms for motion-based recognition. Her most cited work, "Hybrid object detection using improved three frame differencing and background subtraction" (2017, 25 citations), introduces a novel hybrid approach that combines enhanced frame differencing with background subtraction techniques. This contribution addresses critical challenges in detecting moving objects across image sequences, improving accuracy in dynamic environments. By refining motion detection methods, Dr. Srivastav’s research directly supports applications in automated surveillance systems and interactive robotics. Her work stands out for its practical focus on overcoming limitations of traditional detection algorithms, offering a more robust solution for real-time video analysis. With growing recognition in the field, Dr. Srivastav continues to contribute to the evolution of intelligent visual systems, making her research valuable for students and engineers developing next-generation computer vision technologies.
Research Focus
Key Achievements
Top Papers
- 1