Abstract: The invention provides methods and systems for identifying objects transitioning boundaries defined around geographic areas using sensors. Objects that are vehicles are detected by license plate reader sensors. Boundaries defining geographic zones and sub-zones are pre-defined graphically by reference to a map or computed based on locations of sensors located within the geographic region. When sensor coverage is incomplete, soft zones are computed and defined. Soft zones are computed using probabilistic models, and are developed to minimize the number of escape paths from any sub-zone around sensor locations. Using these probabilistic models, additional sensors can be optimally placed for further enhancement of the detection system.

Abstract: A computer implemented method for selecting at least one sensor from a plurality of sensors (130, 132, 134), wherein the at least one sensor is adapted to record sensor-data that is related to a geographical area (110, 112), wherein the sensor-data comprises information about objects (537) movable between locations (A, B, C, D, E, F) of that geographical area (110, 112), wherein a data structure (120, 121, 122, 123) with a pre-processed graph represents the geographical area (110, 112), the pre-processed graph having elements comprising nodes and edges, wherein nodes (a, b, c, d, e, f) represent the locations (A, B, C, D, E, F) of the geographical area (110, 112), wherein edges represent transition times (140) for the objects (537) if moving between the locations (A, B, C, D, E, F), and wherein the pre-processed graph has a simplified number of nodes (a, b, c, d, e, f) according to rules applied to the elements, the method comprising: receiving an event (135) indicator in relation to a particular location (B)