Abstract: An object-recognition method and system employing Bayesian fusion algorithm to reiteratively improve probability of correspondence between captured object images and database object images by fusing probability data associated with each of plurality of object image captures.

Abstract: A computer implemented method, computer program product, server and clients for preserving privacy and accountability. The server receives from a first client computer pseudonymous, encrypted data and stores the pseudonymous, encrypted data. The -server further receives receiving at from a second client computer a data request for the pseudonymous, encrypted data and provides the pseudonymous, encrypted data to the second client computer in response to the data request. The server receives from the second client computer a signed key request for at least one key, wherein the at least one key is configured to decrypt the pseudonymous, encrypted data and wherein the signed key request comprises a public key of the second client computer. The server receives from the first client computer the at least one key, wherein the at least one key is encrypted with the public key of the second client computer and provides the at least one encrypted key to the second client computer in response to the signed key request.

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)