1. A method for predicting evolution of motions of active objects comprising: accessing active object position data stored in a memory device, said active object position data including positioning information of a plurality of individual active objects, wherein said active object position data comprises active object position data derived from one or more sensors and comprises one or more of: object position data derived from a plurality of video images, object position data derived from one or more radio frequency devices, and object position data derived from radar; and using one or more processors to perform: extracting a plurality of individual active object motions from the active object position data; constructing a global flow field using the plurality of individual active object motions; using the global flow field to predict one or more points of convergence at one or more spatial locations that active objects are proceeding towards at a future point in time; and forming a top down warped image from the plurality of video images; wherein: the top down warped image is formed via warping and aligning the plurality of video images to create the top down warped image; and the top down warped image represents a top down view of a physical location.