Muskan Karnani

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About

Muskan Karnani is a researcher whose work lies at the intersection of computer vision and aquatic biology, with a particular focus on multi-fish detection and tracking using RGB-D vector technology. Her most-cited paper, "Multi Fish Detection and Tracking Using RGB-D Vector" (2022), addresses the complex challenge of tracking multiple fish in underwater environments—a problem with significant implications for marine biology, aquaculture, and environmental monitoring. By leveraging depth-sensing cameras and advanced image processing techniques, Karnani’s work improves upon traditional tracking methodologies, which often struggle with occlusions, varying lighting, and rapid movement in aquatic settings. Her contributions have garnered attention, with her key paper accumulating 3 citations, reflecting its relevance in the growing field of object tracking. Karnani’s research is particularly notable for its practical applications, including video surveillance and behavioral analysis of marine life, showcasing how computer vision can be adapted to dynamic, real-world environments. Her work continues to inspire advancements in automated monitoring systems, making her a promising voice in the ongoing evolution of image processing and ecological research.