Aditi Bhateja

Papers

Total Citations

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About

Aditi Bhateja’s research lies at the intersection of computer vision, sensor technology, and aquatic environmental monitoring. Her most-cited work, “Depth analysis of Kinect v2 sensor in different mediums” (2021, 7 citations), systematically evaluates the performance of RGB-D sensors in challenging underwater and varied media environments, providing foundational insights for depth-sensing applications beyond air. Building on this, her 2022 study “Multi Fish Detection and Tracking Using RGB-D Vector” (3 citations) addresses the complex, real-world problem of tracking multiple fish in natural habitats—a task with significant implications for marine biology, fisheries management, and ecological surveillance. By integrating depth data with traditional visual cues, Bhateja advances robust tracking methodologies that overcome occlusion and lighting variability. Her work demonstrates how consumer-grade sensors can be repurposed for specialized scientific tasks, bridging the gap between affordable hardware and high-precision environmental monitoring. For students and researchers in image processing and aquatic robotics, Bhateja’s contributions highlight the practical challenges and innovative solutions in deploying vision systems outside controlled laboratory settings.