Papers
1
Total Citations
2
H-Index
1
About
T. B. Phan is a leading researcher in computer vision and multi-camera 3D tracking, with a focus on enabling robust, real-time intelligent surveillance and scene understanding. Their most notable contribution is the development of VGCRTrack, a novel framework for multi-camera multi-object tracking that introduces View-Aware Geometric Center Refinement. This work directly addresses critical challenges in the field, including severe occlusion and class ambiguity—such as distinguishing between humans and humanoid robots—by refining 3D geometric centers across disjoint camera views. This innovation ensures consistent identity tracking in complex, real-world environments, a breakthrough for autonomous systems and security applications. With their 2025 paper already garnering 2 citations, Phan’s research is rapidly gaining recognition for its practical impact. Their work stands at the intersection of 3D scene understanding and real-time tracking, offering a scalable solution for crowded, dynamic spaces. Phan’s contributions are paving the way for more reliable and intelligent multi-camera systems, making them a rising voice in the vision community.
Research Focus
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Top Papers
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