Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal)is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal)is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal) is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal) is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: Dynamic video capture rate control techniques are described. In one or more implementations, a method is described of dynamically controlling video capture rate. Capture of video of a camera is caused by a device to occur at a first rate for a first collection of images in the video. During the causation of the capture of the video at the first rate, an input is detected by the device to change to a second rate that is different than the first rate. Responsive to the detection of the input, the capture rate is changed from the first rate to the second rate, the capture of the video by the camera is caused to occur at the second rate for a second collection of images of the video, and timestamps of the first collection of images or the second collection of images are transformed to configure the image in the video for output at a substantially uniform rate relative to each other.

Abstract: A sub-device agent running on a network device provides tools for detecting and managing sub-devices connected to the network device. The sub-device agent reports the presence of the sub-devices to a configuration manager, which provides a user interface for managing the sub-devices. The sub-devices are not directly detectable by or visible to the configuration manager. The sub-device agent provides access to the sub-devices for monitoring, configuring, updating, etc. The sub-device agent may be used to install or upgrade firmware or software on the sub-device or to monitor a status of the sub-device. Sub-device modules, such as OEM plug-ins and drivers, may be used by the sub-device agent to discover and manage the sub-devices.