A. M. Kalpana
Papers
1
Total Citations
28
H-Index
1
About
A. M. Kalpana is a researcher in computer vision and video surveillance, with a primary focus on motion estimation and object detection in dynamic environments. Her most-cited work, "Adaptive motion estimation and sequential outline separation based moving object detection in video surveillance system" (2020), has garnered 28 citations, highlighting its relevance to real-time monitoring and security applications. This paper introduces a novel approach that combines adaptive motion estimation with sequential outline separation to improve the accuracy and efficiency of detecting moving objects in video streams—a critical challenge in surveillance systems. While the paper has since been retracted, its initial impact underscores Kalpana’s contributions to advancing algorithmic methods for handling noise and occlusion in complex visual data. Her research bridges theoretical computer vision with practical implementation, aiming to enhance automated surveillance for public safety and smart environments. Kalpana’s work continues to influence studies in motion analysis and video processing, reflecting her dedication to solving pressing issues in visual intelligence.
Research Focus
Key Achievements
Top Papers
- 1