Multi-camera pedestrian detection, tracking and re-identification system
It tackles the challenge of detecting and tracking pedestrians across multiple cameras by sharing a ConvNeXt V2 backbone for detection, BoT‑SORT tracking, and 256‑D re‑identification descriptors. The repository provides a FastAPI service for inference and a React/Vite UI for reviewing cross‑camera candidates, enabling practical use in security or research settings. Designed for researchers and practitioners needing a ready‑made multi‑camera person search solution, it delivers competitive performance with a compact model. Unlike many research demos, it bundles code, tests, and a polished demo, offering a complete, usable system.
View on GitHub →aswanth-07/effiped-multi-camera-tracking