Abstract: We generally describe a detection system and a method for tracking a moving object. The detection system (101) comprises a sensor (102) which is configured to sense an event. The system further comprises a trigger detection module (108a) which is coupled to the sensor (102), wherein the trigger detection module (108a) is configured to identify the sensed event to be a trigger event. The system further comprises an imaging device (114) for imaging the trajectory of an object, and an imaging device control unit (112) for controlling the imaging device (114). The imaging device control unit (112) is coupled to the trigger detection module (180a), wherein the imaging device control unit (112) is configured to control the imaging device (114) in response to a trigger event being identified by the trigger detection module (108a).

Abstract: It is disclosed a method, and a system (30) capable of localizing ball hit events on a sports court. From on acoustics data acquired (22) of ball hit events by individual distributed sensors or microphones, ball hitting patterns are identified (24) in the data from each individual sensor. Based on the identified ball hitting patterns and geometric constraints of a sports court and the distribution of sensors, ball hit events are detected (26). The localization of the detected ball bit events is determined (28) based on the geometrical constraints of the sports court and the sensor distribution. The system has a number of advantages of which some are that it is cheap to install, it is non-invasive, and that it can easily be extended to provide higher precision of ball hit event localization.

Abstract: A computer system and computer-automated method for analyzing sports performance data from a game. A data set is provided that contains a log of a first time sequence of game data events which are classified into event types. A second time sequence is generated from the first time sequence by aggregating the events into game patterns, and a third time sequence is generated by aggregating the game patterns into game strategies. A multi-level time sequence event hierarchy is thus created. These multiple time sequence levels are rendered into a visualization in which the different types at each level are visually distinct from each other. The visualization reveals to a game expert player or team behavior in the data set which can be used for player and team improvement.

Abstract: A computer system and computer-automated method for analyzing performance data in a telecommunications network. A data set is provided that contains a log of a first time sequence of network events which are classified into event types. A second time sequence is generated from the first time sequence by aggregating the events into event groups, and at least a third time sequence is generated by aggregating the event groups into event super-groups. A multi-level time sequence event hierarchy of at least three levels is thus created. The multiple time sequence levels are rendered into a visualization in which the different event types are visually distinct from each other. The visualization reveals to a domain expert patterns of behavior in the data set which can be used to detect current network problems and to predict future network loading, for example in a network operations center.

Abstract: We generally describe a detection system and a method for tracking a moving object. The detection system (101) comprises a sensor (102) which is configured to sense an event. The system further comprises a trigger detection module (108a) which is coupled to the sensor (102), wherein the trigger detection module (108a) is configured to identify the sensed event to be a trigger event. The system further comprises an imaging device (114) for imaging the trajectory of an object, and an imaging device control unit (112) for controlling the imaging device (114). The imaging device control unit (112) is coupled to the trigger detection module (180a), wherein the imaging device control unit (112) is configured to control the imaging device (114) in response to a trigger event being identified by the trigger detection module (108a).

Abstract: A computer system and computer-automated method for analyzing performance data in a telecommunications network. In A data set is provided that contains a log of a first time sequence of network events which are classified into event types. A second time sequence is generated from the first time sequence by aggregating the events into event groups, and at least a third time sequence is generated by aggregating the event groups into event super-groups. A multi-level time sequence event hierarchy of at least three levels is thus created. The multiple time sequence levels are rendered into a visualization in which the different event types are visually distinct from each other. The visualization reveals to a domain expert patterns of behavior in the data set which can be used to detect current network problems and to predict future network loading, for example in a network operations center.

Abstract: A computer system and computer-automated method for analyzing sports performance data from a game. A data set is provided that contains a log of a first time sequence of game data events which are classified into event types. A second time sequence is generated from the first time sequence by aggregating the events into game patterns, and a third time sequence is generated by aggregating the game patterns into game strategies. A multi-level time sequence event hierarchy is thus created. These multiple time sequence levels are rendered into a visualization in which the different types at each level are visually distinct from each other. The visualization reveals to a game expert player or team behavior in the data set which can be used for player and team improvement.

Abstract: It is disclosed a method, and a system (30) capable of localizing ball hit events on a sports court. From on acoustics data acquired (22) of ball hit events by individual distributed sensors or microphones, ball hitting patterns are identified (24) in the data from each individual sensor. Based on the identified ball hitting patterns and geometric constraints of a sports court and the distribution of sensors, ball hit events are detected (26). The localization of the detected ball bit events is determined (28) based on the geometrical constraints of the sports court and the sensor distribution. The system has a number of advantages of which some are that it is cheap to install, it is non-invasive, and that it can easily be extended to provide higher precision of ball hit event localization.