Abstract: A computer system, method, and program product for registering sensors, includes an interface to receive a query (Q) related to a specific event for a target system state associated with a specific activity pattern. A decomposer decomposes the query (Q) into semantic expressions (QSe1,QSe2) describing the target system state, and identifies a database entry associated with a semantic expression from the decomposition. A retriever retrieves behavioral data corresponding to the identified database entry, including dependencies between elements that describe the specific activity pattern. The specific activity pattern is associated with multiple activity data structures. A registration component registers a sensor (S1,S3,S4), assigned to the activity data structures.

Abstract: In queues, persons—or objects (120) in general—move inside an area (110) to a target (112), such as to a counter. The queue has movement characteristics in terms of speed, waiting times and queue form. A computer-implemented approach obtains the characteristics by receiving a sequence (140) of image frames (141, 142, 143, 49) that represent the surveillance area (110); calculating flow vectors that indicate an optical displacement for the sequence (140) of image frames (141/142, 142/143); extending one of the flow vectors as lead vector in extension directions; determining intermediate vectors by using flow vectors along the extension directions; and selecting one the intermediate vectors as the new lead vector. The steps are repeated to concatenate the lead vectors to the movement characteristics (190).

Abstract: A computer implemented method, computer program product, and computer system for determining camera calibration data. The computer system receives geo-positional data of a moving object, wherein the geo-positional data is associated with an indicator (112). The computer system receives further a sequence of frames (140) from the at least one camera (150), wherein at least one frame has a picture of the moving object (118) with a structure and with an encoded version of the indicator which are optically recognizable. The indicator associated with the at least one frame is extracted by decoding (170) the optically encoded version of the indicator of the at least one frame. The geo-positional data of the moving object which is in the picture of the at least one frame is obtained by matching (172) the indicator associated with the geo-positional data of the moving object and the decoded indicator associated with the at least one frame.

Abstract: A computer system, method, and program product for registering sensors, includes an interface to receive a query (Q) related to a specific event for a target system state associated with a specific activity pattern. A decomposer decomposes the query (Q) into semantic expressions (QSe1,QSe2) describing the target system state, and identifies a database entry associated with a semantic expression from the decomposition. A retriever retrieves behavioral data corresponding to the identified database entry, including dependencies between elements that describe the specific activity pattern. The specific activity pattern is associated with multiple activity data structures. A registration component registers a sensor (S1,S3,S4), assigned to the activity data structures.

Abstract: In queues, persons—or objects (120) in general—move inside an area (110) to a target (112), such as to a counter. The queue has movement characteristics in terms of speed, waiting times and queue form. A computer-implemented approach obtains the characteristics by receiving a sequence (140) of image frames (141, 142, 143, 49) that represent the surveillance area (110); calculating flow vectors that indicate an optical displacement for the sequence (140) of image frames (141/142, 142/143); extending one of the flow vectors as lead vector in extension directions; determining intermediate vectors by using flow vectors along the extension directions; and selecting one the intermediate vectors as the new lead vector. The steps are repeated to concatenate the lead vectors to the movement characteristics (190).

Abstract: A computer implemented method, computer program product, and computer system for determining camera calibration data. The computer system receives geo-positional data of a moving object, wherein the geo-positional data is associated with an indicator (112). The computer system receives further a sequence of frames (140) from the at least one camera (150), wherein at least one frame has a picture of the moving object (118) with a structure and with an encoded version of the indicator which are optically recognizable. The indicator associated with the at least one frame is extracted by decoding (170) the optically encoded version of the indicator of the at least one frame. The geo-positional data of the moving object which is in the picture of the at least one frame is obtained by matching (172) the indicator associated with the geo-positional data of the moving object and the decoded indicator associated with the at least one frame.