A method of controlling an image acquisition device for tracking a target object includes: detecting an event in which tracking of a first object, which is a tracking target object, fails in a first image acquired by the image acquisition device; determining, in the first image, a reference object which is used as a reference for controlling the image acquisition device; controlling the image acquisition device such that at least one of an image capturing range and an image capturing direction of the image acquisition device is adjusted based on at least one of a size and a location of the reference object in the first image; and recognizing the first object in a second image acquired by the image acquisition device in a state in which at least one of the image capturing range and the image capturing direction is adjusted.

To improve the accuracy of the recognition processing used in an image sensor. A solid-state imaging device includes a pixel array, a converter, an image processing unit, a digital signal processing unit, and a control unit. The pixel array has a plurality of pixels that perform photoelectric conversion. The converter converts an analog pixel signal output from the pixel array into digital image data. The image processing unit performs image processing on the digital image data. The digital signal processing unit performs recognition processing on the digital image data output by the image processing unit. The control unit performs optimization regarding at least one acquisition processing operation among acquisition of the analog pixel signal, acquisition of the digital image data, and acquisition of a result of the recognition processing based on the result of the recognition processing.

A method for using cameras in an augmented reality headset is provided. The method includes receiving a signal from a sensor mounted on a headset worn by a user, the signal being indicative of a user intention for capturing an image. The method also includes identifying the user intention for capturing the image, based on a model to classify the signal from the sensor according to the user intention, selecting a first image capturing device in the headset based on a specification of the first image capturing device and the user intention for capturing the image, and capturing the image with the first image capturing device. An augmented reality headset, a memory storing instructions, and a processor to execute the instructions to cause the augmented reality headset as above are also provided.

Provided are a capsule endoscope apparatus for supporting a lesion diagnosis and a lesion diagnosis supporting method using the same. The capsule endoscope apparatus for supporting lesion diagnosis includes an imaging unit configured to capture one or more images of an inside of a body, a control unit configured to detect a suspected lesion region in the images and perform a precision diagnosis procedure when a suspected lesion region corresponding to a value equal to or greater than a certain threshold is detected, an image processing unit configured to process the images in the precision diagnosis procedure, and a communication module configured to transmit and receive processed images to another capsule endoscope apparatus or a terminal by using a wireless communication method.

An imaging apparatus according to an embodiment includes: an imaging unit (10) having a pixel region in which a plurality of pixels is arranged; a readout controller (11) that controls readout of pixel signals from pixels included in the pixel region; a unit-of-readout controller (123) that controls a unit of readout that is set as a part of the pixel region and for which the readout controller performs the readout; and a recognition unit (14) that has learned training data for each of the units of readout. The recognition unit performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result which is a result of the recognition process.

The invention provides an image processing apparatus which comprises a controller which causes an image sensing device to execute either a first mode in which outputs image data of a first resolution, or a second mode in which outputs image data of a second resolution lower than the first resolution; and an evaluating circuit which, by outputting image data of the second resolution in relation to acquired image data, obtains an index value that relates to a spatial frequency of a frequency band in which a signal level decreases in image data of the second resolution more than in image data of the first resolution, wherein the evaluating circuit detects, by machine learning, the index value of image data of the second resolution, and the controller, based on the detected index value, selects either the first or second mode.

The invention provides an image processing apparatus which comprises a controller which causes an image sensing device to execute either a first mode in which outputs image data of a first resolution, or a second mode in which outputs image data of a second resolution lower than the first resolution; and an evaluating circuit which, by outputting image data of the second resolution in relation to acquired image data, obtains an index value that relates to a spatial frequency of a frequency band in which a signal level decreases in image data of the second resolution more than in image data of the first resolution, wherein the evaluating circuit detects, by machine learning, the index value of image data of the second resolution, and the controller, based on the detected index value, selects either the first or second mode.

A method comprising: automatically processing recorded first sensor data from a scene to recognise automatically a first user input from user action in the scene; in response to recognition of the first user input, automatically entering a learning state to enable: automatic processing of the first sensor data from the scene to capture an ad-hoc sequence of spatial events in the scene subsequent to the first user input and automatic processing of subsequently recorded second sensor data from the scene different to the first sensor data of the scene, to recognise automatically a sequence of spatial events in the subsequently recorded second video corresponding to the captured sequence of spatial events.

An information processing apparatus including circuitry is provided. The circuitry is configured to transmit list information for display of a plurality of cameras on a display device, receive a selection of at least one camera from the plurality of cameras based on the transmitted list information, control transmission of image data generated by the selected at least one camera, and transmit correspondence relationship information for display of a correspondence relationship between the plurality of the cameras and a plurality of communication devices on the display device. The circuitry is configured to change the correspondence relationship between one of the plurality of the cameras and one of the plurality of communication devices. Further, the circuitry is configured to transmit list information indicating a plurality of cameras for display on a display device.

An information processing apparatus including circuitry is provided. The circuitry is configured to transmit list information for display of a plurality of cameras on a display device, receive a selection of at least one camera from the plurality of cameras based on the transmitted list information, control transmission of image data generated by the selected at least one camera, and transmit correspondence relationship information for display of a correspondence relationship between the plurality of the cameras and a plurality of communication devices on the display device. The circuitry is configured to change the correspondence relationship between one of the plurality of the cameras and one of the plurality of communication devices. Further, the circuitry is configured to transmit list information indicating a plurality of cameras for display on a display device.