Abstract: A surveillance system is provided. The surveillance system is configured for (i) detecting and tracking persons locally for each camera input video stream using the common area anchor boxes and assigning each detected ones of the persons a local track id, (ii) associating a same person in overlapping camera views to a global track id, and collecting associated track boxes as the same person moves in different camera views over time using a priority queue and the local track id and the global track id, (iii) performing track data collection to derive a spatial transformation through matched track box spatial features of a same person over time for scene coverage and (iv) learning a multi-camera tracker given visual features from matched track boxes of distinct people across cameras based on the derived spatial transformation.