Jyoti Parashar
Papers
1
Total Citations
3
H-Index
1
About
Jyoti Parashar is a researcher whose work sits at the intersection of computer vision, mathematical modeling, and intelligent surveillance systems. Her primary research areas include object tracking, visual recognition, and the application of mathematical approaches to enhance vigilance and monitoring technologies. Parashar’s most cited work, “Vigilance and surveillance reinforced using mathematical approaches in object tracking techniques” (2024, 3 citations), makes a significant contribution by advancing methods for counting individuals in crowded or dynamic environments—a critical capability for robotics, autonomous vehicles, traffic monitoring, and forensic analysis. By integrating rigorous mathematical frameworks into visual tracking, she addresses real-world challenges in safety and automation. Though early in her citation trajectory, her focus on practical, high-impact applications signals a promising career. Parashar’s research not only pushes the boundaries of object recognition but also directly informs technologies that shape modern security and transportation systems, marking her as an emerging voice in the field of applied computer vision.
Research Focus
Key Achievements
Top Papers
- 1