Abstract:
A data division unit divides each of a plurality of stream data pieces input in a time series into divided data by a predetermined time unit. Each of a plurality of data processing units executes predetermined processing on the stream data. An allocation determination unit determines a combination of the divided data of each of the plurality of stream data pieces and the data processing unit executing the predetermined processing on each of the divided data pieces based on a correlation between processing loads on the plurality of stream data pieces. A data distribution unit distributes the divided data to the data processing unit in accordance with the combination determined by the allocation determination unit.
Abstract:
The present invention provides an image analysis device which is capable of automatically responding to various environmental variations caused by a camera installation condition or an environmental factor without consuming unnecessary calculation resources. The image analysis device is provided with: a plurality of process execution units which are capable of executing different processes on an input image; an analysis unit which analyzes, on the basis of the image, an image variation caused by external environment; and a process selection unit which selects, on the basis of the analyzed variation, at least one from among the plurality of process execution units.
Abstract:
A surveillance system including a fixed camera and one or more temporary cameras and a control means coupled to the fixed camera and the one or more temporary cameras is disclosed. The control means is configured to extend coverage of the fixed camera using the one or more temporary cameras coupled to the fixed camera. Each of the one or more temporary cameras includes one or more sensors and is configured to be deployed and adjusted based on sensor data obtained from the one or more sensors of the one or more temporary cameras and from one or more fixed camera sensors co-located with the fixed camera.
Abstract:
A load balancing system (1) according to the present disclosure includes a processing unit (10-1), a processing unit (10-2) that processes a processing result of the processing unit (10-1), a processing unit (10-3) that processes a processing result of the processing unit (10-2), a resource management unit (20-1), a resource management unit (20-2), and a resource management unit (20-3). When the resource management unit (20-2) detects an occurrence of an overload in the processing unit (10-2), the resource management unit (20-2) starts to add a resource of the processing unit (10-2), the resource management unit (20-3) starts to add a resource of the processing unit (10-3), and the resource management unit (20-1) starts to suppress throughput of the processing unit (10-1). When it is completed to add resources of the processing units (10-2) and (10-3), the resource management unit (20-1) cancels suppression of throughput of the processing unit (10-1).
Abstract:
The present invention provides an image analysis device which is capable of automatically responding to various environmental variations caused by a camera installation condition or an environmental factor without consuming unnecessary calculation resources. The image analysis device is provided with: a plurality of process execution units which are capable of executing different processes on an input image; an analysis unit which analyzes, on the basis of the image, an image variation caused by external environment; and a process selection unit which selects, on the basis of the analyzed variation, at least one from among the plurality of process execution units.
Abstract:
Monitoring target matching means 71 matches monitoring targets shown in video captured by one or more imaging devices, and identifies monitoring targets estimated to be the same monitoring target, as an identified monitoring target. Target object identifying means 72 identifies a desired target object from one or more identified monitoring targets captured, using imaging times of each of the one or more identified monitoring targets.
Abstract:
A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.
Abstract:
Monitoring target matching means 71 matches monitoring targets shown in video captured by one or more imaging devices, and identifies monitoring targets estimated to be the same monitoring target, as an identified monitoring target. Target object identifying means 72 identifies a desired target object from one or more identified monitoring targets captured, using imaging times of each of the one or more identified monitoring targets.
Abstract:
Event-related data based on an image that has been captured is generated. Coverage information relating to imaging range is compared to the event-related data. The cameras that can capture an image of the event, based on a comparing result, are listed so that an operator can select one of the listed cameras.
Abstract:
A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.