Aspects of the present disclosure relate generally to a vision system that detects persons exiting an environment, comprising detecting, by a processor using a plurality of image frames from at least one sensor, persons that exited the environment during a first period of time. The vision system further determines, by the processor, an exit count for the first period of time and retrieves, from a database, historical egress data comprising a detected historic exit count and a corrected historic exit count of the environment for a second period of time corresponding to the first period of time. The vision system calculates an error rate for the second period of time based on a ratio of the detected historic exit count and the corrected historic exit count, determines and stores a corrected exit count for the first period of time by adjusting the exit count using the error rate.

An imaging platform for capturing multiple views is provided. The imaging platform includes a desktop base, an upright element having a first end and a second end, the first end coupled to the desktop base, a first camera and a second camera positioned on at least one protruding element coupled to the upright element, the second camera facing the desktop base, a control panel for selecting a selection of a plurality of different outputs, and a processor. The processor obtains at least one camera output from the first camera and/or the second camera based on the selection of the plurality of outputs on the control panel, and provides a processed output based on the selection of the plurality of outputs on the control panel.

An image processing device includes a rotation processor and an image processor. The rotation processor receives an input image and generates a temporary image according to the input image. The image processor is coupled to the rotation processor and outputs a processed image according to the temporary image, wherein the image processor has a predetermined image processing width, a width of the input image is larger than the predetermined image processing width, and a width of the temporary image is less than the predetermined image processing width.

According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry configured to generate a harmonic signal and a fundamental wave signal based on a reception signal that is collected by an ultrasound probe, the harmonic signal corresponding to a harmonic component of a reflected wave of a ultrasound generated in the subject, the fundamental wave signal corresponding to a fundamental wave component of the reflected wave, calculate a first index value indicating tissue properties of the subject based on the harmonic signal, and calculate a second index value indicating the tissue properties based on the fundamental wave signal, and display an analysis result based on the first index value and the second index value.

A depth estimation system is described capable of determining depth information using two images from two cameras. A first camera captures a first image and a second camera captures a second image, both images including a plurality of light channels. A scan direction is selected from a plurality of scan directions. For the selected scan direction, along each of a plurality of scanlines, the system compares pixels from the first image to pixels from the second image. The comparison is based on calculating a census transform for each pixel in the first image and a census transform for each pixel in the second image. This comparison is used to determine a stereo correspondence between the pixels in the first image and the pixels in the second image. The system generates a depth map based on the stereo correspondence.

A visual search method, a visual search device, and an electrical device are provided. The method includes determining a first object in a visual search process. A power consumption of the first object in the visual search process is greater than a power consumption of a second object in the visual search process. The first object includes at least one of a program and an algorithm and the second object includes at least one of a program and an algorithm. The method further includes performing a visual search through an optimized object of the first object. At least one of a calculating speed of the optimized object is greater than a calculating speed of the first object and a total calculating time of the optimized object within a unit time is less than a total calculating time of the first object within the unit time.

A method for detecting a parallax problem in sensor data from two sensors spaced apart from each other and at least partly capturing the same environment, wherein at least one of the sensors provides distance information. The method includes obtaining the acquired sensor data from the sensors; assigning measured values in the acquired sensor data of one sensor to corresponding measured values in the acquired sensor data of the other sensor, wherein the assignment takes the respective imaging conditions of the two sensors into account; consecutively numbering the measured values in the sensor data; checking whether a sorting order of the numbering of the measured values that correspond to each other matches, a parallax problem being determined in response to a sorting order not matching; and outputting a test result. Also disclosed is an apparatus for detecting a parallax problem in sensor data from two sensors and a transportation vehicle.

The present technology relates to an information processing device, an information processing method, and an information processing system by which a user can easily recognize a position of a sensor having a defect from among sensors mounted on a vehicle. Position-related information about a relative position or direction with respect to a vehicle is acquired, and a combined image obtained by combining a defect image representing a position of the sensor having a defect from among the sensors mounted on the vehicle with a vehicle image reflecting the vehicle is displayed in response to the position-related information. The present technology can be applied so that a user can recognize a sensor having a defect from among the sensors mounted on a vehicle.

A reduction in quality of a virtual viewpoint image is suppressed. An image processing apparatus specifies an image in which a specific position in a target object is not occluded by another object from among a plurality of images obtained by the plurality of imaging apparatuses based on a pixel value of the plurality of images; determines, based on the specified image, a value of a pixel corresponding to the specific position in the virtual viewpoint image to be generated based on the plurality of images; and generates the virtual viewpoint image including the target object based on the determined value of the pixel.

A cleaning control device is configured to control a cleaning system of a vehicle equipped with (i) an optical sensor configured to acquire an outside light image according to intensity of outside light while light irradiation for sensing reflected light is stopped, (ii) a sensing camera configured to acquire a camera image according to the intensity of the outside light, and (iii) the cleaning system configured to clean an incident surface on which light is incident from sensing areas of the optical sensor and the sensing camera overlapping with each other. The cleaning control device includes an extraction unit configured to extract an unmatched pixel group by comparing the outside light image with the camera image, and a control unit configured to instruct the cleaning system to perform cleaning control to remove dirt from the incident surface, the dirt being estimated to correspond to the unmatched pixel group.