Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments of urban cameras. Tracking an object interest across the camera network near real-time is a canonical problem. However, current tracking platforms two key limitations: 1) They are monolithic, proprietary lack ability rapidly incorporate sop...