Creating a Unified, Wide-Area Activity Map for Multi-Camera Networks

Spatio-temporal activity maps have been used to visualize where activity occurs over time, as captured by a camera, and have typically been displayed as heat maps. We extend this work in two ways. 1) Multiple maps from many cameras in a network are geometrically translated to create a unified, wide-area map whose viewing angle and relative feature values are consistent to all cameras. 2) Activity features are extended beyond density, to include direction, bi-direction, and dwell time. We show how this wide-area map offers visualization and utility beyond multiple single-camera maps.