Abstract: A device includes a memory storing a computer program and a processor configured to read the computer program to obtain a content including information acquired in a time sequence, extract characteristics at a plurality of time points from the information, determine a color or a brightness at each of the time points based on the characteristic at the time point, and generate drag bar images each corresponding to one of the time points and including a pixel having the color or the brightness at the one of the time points.

Abstract: The present invention provides an image processing system, an image processing method, and a program capable of suppressing confusion that may arise in a case where a target person is identified when tracking a person. An image processing system includes: a camera control unit which accepts input video images captured by a plurality of video cameras; a tracked person registering unit capable of registering one or more persons appearing in the video images inputted from the camera control unit; and a display screen generating unit which displays switchable windows of the video images inputted from the video cameras for each person registered by the tracked person registering unit.

Abstract: An evaluation apparatus (10) includes an acquisition unit (110), an index computation unit (120), and a suitability computation unit (140). The acquisition unit (110) acquires arrangement information and environmental information. The arrangement information indicates at least any of position, orientation and field angle of an image capturing apparatus. The environmental information indicates an environment of a target region. The index computation unit (120) computes a surveillance index by using the arrangement information and the environmental information, the surveillance index indicating difficulty or easiness of surveilling a target object. The suitability computation unit (140) computes suitability of arrangement of the image capturing apparatus indicated by the arrangement information, based on the distribution of the surveillance index in the target region.

Abstract: This information processing apparatus includes: a search image acquisition unit that acquires enlarged images at focal positions different from each other; a first feature amount calculation unit that obtains, for each of the multiple captured enlarged images, a first feature amount based on a direct current component and a dynamic range of an alternating current component of pixel values for each of blocks forming each of the enlarged images; and an in-focus position determination unit that determines an in-focus position of each enlarged image based on the first feature amount.

Abstract: An imaging system comprises two cameras and a processor. A first camera comprises a first grid of pixels configured to detect light in a broadband channel and a plurality of clusters of color filters sparsely arranged over the first grid of pixels. Each color filter passes light in a color channel to the grid of pixels. A second camera comprises a second grid of pixels configured to detect light in a broadband channel. The processor is configured to generate an aggregate image by combining a first image captured by the first camera and a second image captured by the second camera. The processor is also configured to add color values to the aggregate image based on color data captured by the first camera with the clusters of color filters. Additionally, the processor is configured to present the aggregate image with added color values on an electronic display.

Abstract: A vehicle monitoring system is configured to monitor a scanning region depicting a subject and includes a monitoring apparatus configured to capture scanning data in the scanning region depicting the subject. A feedback apparatus is configured to communicate alignment information from a portion of the vehicle to the subject. The alignment information indicates an alignment of the subject in the scanning region. A concealment apparatus is configured to conceal the scanning apparatus and selectively transmit the alignment information from the feedback apparatus. The system further includes a controller configured to activate the feedback apparatus revealing the alignment information identifying the alignment of the subject within the scanning region of the monitoring apparatus. The controller is further configured to control the scanning apparatus to capture the scanning data of the subject and monitor the subject in the scanning data.

Abstract: A bulk loading system for delivering bulk material to a storage compartment of a bulk transport vehicle through a hatch opening includes a movable positioner supporting an extendable loading spout assembly, a camera coupled to the positioner and a programmable logic controller communicatively coupled to the positioner, loading spout assembly and camera for automatically positioning the loading spout assembly over the hatch opening and filling the storage compartment of the vehicle with bulk material. The system provides accurate position information to a driver of the vehicle so that the vehicle and its storage compartments can be quickly positioned within a reach zone of the loading spout.

Abstract: A refrigerator appliance, as provided herein, may include a cabinet defining a chilled chamber, a door rotatably hinged to the cabinet, a camera module, and a controller. The camera module may be mounted to the cabinet. The controller may be operably coupled to the camera module. The controller may be configured to initiate an operation routine. The operation routine may include receiving a purchase invoice, initiating an item recognition sequence within the refrigerator appliance, generating an initial recognition attempt of a first stored item based on the item recognition sequence, comparing the initial recognition attempt of the first stored item to the purchase invoice, generating a modified recognition attempt of the first stored item based on the comparison of the initial recognition attempt the first stored item to the purchase invoice, and recording a descriptor of the first stored item to an inventory within the refrigerator appliance.

Abstract: Provided are a signal processing apparatus, a signal processing method, and an imaging apparatus for estimating depth with a high degree of accuracy from video signals of a plurality of cameras. The signal processing apparatus includes a detection unit that detects depth from video captured by a plurality of cameras, an estimation unit that estimates camera motion by detecting a camera position, a prediction unit that predicts present depth from camera motion and depth obtained previously, and a synthesis unit that synthesizes depth detected by the detection unit and depth predicted by the prediction unit on the basis of a result of estimating the amount of blur that occurs in each image captured by cameras. The amount of blur can be estimated using camera motion, previous depth information, and shutter time.

Abstract: Camera control systems and methods for providing a dynamic view of the environment outside of a vehicle are presented. One or more cameras are configured to capture at least one view of the environment outside of the vehicle. Control circuitry detects at least one of the speed of the vehicle and the pitch angle of the vehicle (e.g., by using a speedometer and inclinometer). The control circuitry selects a view angle based on the at least one of the speed of the vehicle and the pitch angle of the vehicle. The control circuitry then displays, based on an output of the at least one camera, a view of the environment outside of the vehicle from the selected view angle on a display of the vehicle.

Abstract: Aspects of the present disclosure include systems, methods, and devices use a controllable matrix filter to selectively obscure regions of an image sensor's field of view. The controllable matrix filter is a physical component that may be placed in front of an image sensor and, in certain situations, one or more regions of the otherwise transparent matrix filter may be selectively configured to have an increased optical density such that the one or more regions become opaque thereby blocking out certain regions of the image sensor's field of view. In this way, the controllable matrix filter may be used to mask out certain regions in an image sensor's field of view that may present processing difficulties for downstream systems that utilize information from the image sensor.

Abstract: A video coder that uses a shared candidate list to encode or decode multiple blocks of pixels within a shared boundary is provided. The video coder identifies a shared boundary encompassing a plurality of blocks of pixels of a current picture in a video sequence. The video coder identifies one or more prediction candidates as a shared candidate list based on neighbors of a region defined by the shared boundary. The video coder codes one or more blocks of pixels encompassed by the shared boundary by using one or more prediction candidates selected from the shared candidate list.

Abstract: The present technology relates to an image processing apparatus, an image processing method, and a surgical system, by which a captured image can be displayed with low latency in almost real time. A DMA controller 51 of a CPU 31 divides image data, which is input via an IF card 34, by the number of GPU cards 35-1, 35-2 in a horizontal direction and allocates them. In each of the GPU cards 35-1, 35-2, the image data is subjected to time division processing in the vertical direction. With this, the use of the plurality of GPU cards 35-1, 35-2 increases the speed of processing associated with display for the image data. High-speed display is realized due to reduction in latency. The present technology is applicable to an endoscopic camera, a surgical microscope, and the like.

Abstract: Video coding may include identifying an input frame from an input video stream, generating, by a processor, an output bitstream by encoding the input frame, wherein encoding the input frame includes dividing the input frame into at least a first contiguous area of the input frame and a second contiguous area of the input frame, generating first encoded data by encoding the first contiguous area of the input frame, generating second encoded data by encoding the second contiguous area of the input frame, wherein encoding the second contiguous area of the input frame is performed independently of encoding the first contiguous area of the input frame, and including the first encoded data and the second encoded data in the output bitstream, and outputting the output bitstream.

Abstract: A method of monitoring a vehicle bottom condition is provided. in which forward, left-side, right-side, and rear images of a vehicle are received from a camera unit of the vehicle, and traveling distance information of the vehicle is received from a sensor unit of the vehicle. The images received from the camera unit based on the traveling distance information received from the sensor unit are stored. A vehicle bottom image is then generated based on the stored image, the generated vehicle bottom image is matched with a surround view monitoring (SVM) image of the vehicle, and the SVM image matched with the vehicle bottom image is output.

Abstract: An inspection device for inspecting explosive environments. The inspection device may include a camera and an intrinsic safety barrier. The intrinsic safety barrier may be configured to receive camera power and control signals and transmit intrinsically safe camera power and control signals to the camera.

Abstract: An apparatus includes a support, a first camera, and second camera, and a processor. The support is configured to be mounted to a head of a user. The first camera is mounted on the support and positioned to capture a first image of a face of the user. The second camera is mounted on the support and positioned to capture a second image of the face of the user that is non-overlapping with the first image. The processor is mounted to the support and programmed to stitch the first image and the second image together to construct an image of the face of the user.

Abstract: Provided is in-loop filtering technology using a trained deep neural network (DNN) filter model. An image decoding method according to an embodiment includes receiving a bitstream of an encoded image, generating reconstructed data by reconstructing the encoded image, obtaining information about a content type of the encoded image from the bitstream, determining a deep neural network (DNN) filter model trained to perform in-loop filtering by using at least one computer, based on the information about the content type, and performing the in-loop filtering by applying the reconstructed data to the determined DNN filter model.

Abstract: A pipe inspection system including a camera head, a push-cable, and a controller platform for use in inspecting pipes or other cavities is disclosed.

Abstract: An imaging apparatus includes: an imager configured to generate an imaging signal; a transmission channel configured to connect a controller and the images; a superimposed signal generator that is arranged on a proximal end side of the transmission channel, the superimposed signal generator being configured to generate a superimposed signal by superimposing a pulsed data signal and a pulsed reference clock signal, and output the generated superimposed signal to the transmission channel; a first extractor that is arranged on a distal end side of the transmission channel, the first extractor being configured to extract the data signal and the reference clock signal from the generated superimposed signal; and a second extractor that is arranged on the distal end side of the transmission channel, the second extractor being configured to extract the negative voltage from the generated superimposed signal.