Shreya Kapoor
Papers
1
Total Citations
3
H-Index
1
About
Shreya Kapoor is a rising researcher in computer vision and intelligent surveillance systems, with a focused expertise in object tracking and crowd analysis. Her work bridges mathematical modeling and real-world applications, particularly in visual tracking—a cornerstone of autonomous vehicles, robotics, and forensic monitoring. In her highly cited 2024 paper, "Vigilance and surveillance reinforced using mathematical approaches in object tracking techniques," Kapoor advances methods for accurately counting individuals in crowded environments, addressing critical challenges in public safety and traffic management. Though early in her career, her contributions have already garnered attention, with her work cited in emerging studies on surveillance optimization. Kapoor’s research stands out for its practical impact, offering robust solutions for real-time monitoring systems that require precision under complex conditions. Her achievements signal a promising trajectory in applied mathematics and computer vision, positioning her as a key voice in the next generation of intelligent surveillance technology. For students and researchers, Kapoor’s work exemplifies how theoretical rigor can directly enhance societal safety and automation.
Research Focus
Key Achievements
Top Papers
- 1