An ultrasonic diagnostic device according to an embodiment includes a collecting unit and processing circuitry. The collecting unit performs ultrasonic scanning with respect to a subject and collects reflected-wave data. The processing circuitry performs short-time Fourier transform in the depth direction with respect to the reflected-wave data; applies a nonlinear adaptive MTI filter on a frequency-by-frequency basis with respect to the result of the short-time Fourier transform; and performs inverse short-time Fourier transform in the depth direction with respect to the output of the nonlinear adaptive MTI filter. Then, the processing circuitry estimates blood flow information from the result of the inverse short-time Fourier transform.

An ultrasonic diagnostic device according to an embodiment includes a collecting unit and processing circuitry. The collecting unit performs ultrasonic scanning with respect to a subject and collects reflected-wave data. The processing circuitry performs short-time Fourier transform in the depth direction with respect to the reflected-wave data; applies a nonlinear adaptive MTI filter on a frequency-by-frequency basis with respect to the result of the short-time Fourier transform; and performs inverse short-time Fourier transform in the depth direction with respect to the output of the nonlinear adaptive MTI filter. Then, the processing circuitry estimates blood flow information from the result of the inverse short-time Fourier transform.

A method of registering first and second cameras in a multi-camera imager comprising generating virtual fiducials at different locations relative to the multi camera imager and using coordinates of the virtual fiducials to determine a fundamental matrix for the cameras.

A method of registering first and second cameras in a multi-camera imager comprising generating virtual fiducials at different locations relative to the multi camera imager and using coordinates of the virtual fiducials to determine a fundamental matrix for the cameras.

Systems and methods are described where odometry information that is obtained from a video camera mounted on an underwater vehicle is used to estimate the velocity of the underwater vehicle. The techniques described herein estimate the velocity of the underwater vehicle passively without emitting sound or other energy from the underwater vehicle.

What is disclosed is a system and method for determining when a subject is speaking from a respiratory signal obtained from a video of that subject. A video of a subject is received and a respiratory signal is extracted from a time-series signal is obtained from processing pixels in image frames of the video. The respiratory signal comprises an inspiratory signal and an expiratory signal. Cycle-level feature are extracted from the respiratory signal and used to identify expiratory signals during which speech is likely to have occurred. The identified expiratory signal are divided into time intervals. Frame-level features are determined for each time interval and an amount of distortion in the expiratory signal for this time interval is quantified. The amount of distortion is compared to a threshold. In response to the comparison, a determination is made that speech occurred during this interval. The process repeats for all time intervals.

A method of classifying motion from video frames involves generating motion frames indicative of changes in pixel values between pairs of frames. The method also involves determining one-dimensional feature values based on the video frames or motion frames, such as the statistical values or linear transformation coefficients. Each one-dimensional feature value may be stored in a buffer, from which additional temporal feature values can be extracted indicative of the change of the one-dimensional feature values across a set of frames. A classifier may receive the one-dimensional feature values and the additional temporal feature values as inputs, and determine the class of motion present in the video frames. Some classes of motion, such as irrelevant motion, may be considered irrelevant to the execution of certain motion-triggered actions, such that the method may involve suppressing the performance of a motion-triggered action based on the determined class of motion.

A method of determining a silhouette of a remote object is disclosed herein. The method can include directing an array of telescopes at a star to sense an intensity of EM radiation over time and transmit signals corresponding to the intensity. The signals can be received at a computing device. Each signal can be indicative of a portion of an intensity diffraction pattern generated by an occlusion of the star by an occluding object. The signals can be combined to form a two-dimensional, intensity diffraction pattern. Each point on the intensity diffraction pattern associated with a time, a position of each telescope in the array, and an intensity of the sensed EM radiation. A silhouette of the occluding object can be determined based on the intensity diffraction pattern. A system for performing the method is also disclosed herein.

A method of determining a silhouette of a remote object is disclosed herein. The method can include directing an array of telescopes at a star to sense an intensity of EM radiation over time and transmit signals corresponding to the intensity. The signals can be received at a computing device. Each signal can be indicative of a portion of an intensity diffraction pattern generated by an occlusion of the star by an occluding object. The signals can be combined to form a two-dimensional, intensity diffraction pattern. Each point on the intensity diffraction pattern associated with a time, a position of each telescope in the array, and an intensity of the sensed EM radiation. A silhouette of the occluding object can be determined based on the intensity diffraction pattern. A system for performing the method is also disclosed herein.

Some embodiments of the present disclosure provide a content integration system. The content integration system is configured to retrieve a source digital content, retrieve a target digital content, identify a region within the target digital content for placing or integrating the source digital content, and place or integrate the target digital content onto the identified region of the source digital content. The content integration system can be configured to place the source digital content into the target digital content in an aesthetically-pleasing, unobtrusive, engaging, and/or otherwise favorable manner. The content integration system can be particularly useful for advertisements, enhanced expression, entertainment, information, or communication.