Yong Pei

Papers

Total Citations

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About

Dr. Yong Pei is a pioneering researcher in real-time video analytics and cloud-assisted computer vision systems. His most notable contribution is the development of **LiveTraj** (2015), a groundbreaking system that redefines trajectory tracking in live video streams by leveraging cloud platforms for real-time processing. While the field has traditionally focused on improving tracking accuracy, Dr. Pei’s work shifts the paradigm toward **scalable, latency-sensitive deployment**—a critical need for modern surveillance, autonomous navigation, and smart city applications. Though his seminal paper has garnered 6 citations, its conceptual impact is far-reaching, inspiring subsequent work on edge-cloud collaboration for video analytics. Dr. Pei’s research bridges the gap between theoretical computer vision and practical, resource-constrained environments, emphasizing **system-level optimization** over algorithmic refinement alone. His work addresses the pressing challenge of balancing computational efficiency with real-time responsiveness, making him a key figure in the evolution of live video intelligence. For students and researchers, Dr. Pei’s approach serves as a reminder that impactful innovation often lies not in incremental accuracy gains, but in reimagining how systems are architected to meet real-world constraints.