Patent classifications
G06T7/215
Real-time marine snow noise removal from underwater video
Optical flow refers to the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. Optical flow algorithms can be used to detect and delineate independently moving objects, even in the presence of camera motion. The present invention uses optical-flow algorithms to detect and remove marine snow particles from live video. Portions of an image scene which are identified as marine snow are reconstructed in a manner intended to reveal underwater scenery which had been occluded by the marine snow. Pixel locations within the regions of marine snow are replaced with new pixel values that are determined based on either historical data for each pixel or a mathematical operation, such as one which uses data from neighboring pixels.
Product purchase support system, product purchase support device and method, POS terminal device, and non-transitory computer readable medium
Provided are a product purchase support system (100), a product purchase support device (10), and a POS terminal device (20) that improve the efficiency of checkout processing for product sales and enhance the convenience of customers when purchasing a product. The product purchase support system (100) according to the present invention includes the product purchase support device (10) including a depth camera (12) and a first display device (13), and a POS terminal device (20) that performs checkout processing for a product. When the product purchase support device (10) detects a product selection motion of selecting a product by a customer, it identifies a product selected by the customer and generates product information related to this product, and displays the product information on the first display device (13). Further, the product purchase support device (10) outputs the product information to the POS terminal device (20).
Product purchase support system, product purchase support device and method, POS terminal device, and non-transitory computer readable medium
Provided are a product purchase support system (100), a product purchase support device (10), and a POS terminal device (20) that improve the efficiency of checkout processing for product sales and enhance the convenience of customers when purchasing a product. The product purchase support system (100) according to the present invention includes the product purchase support device (10) including a depth camera (12) and a first display device (13), and a POS terminal device (20) that performs checkout processing for a product. When the product purchase support device (10) detects a product selection motion of selecting a product by a customer, it identifies a product selected by the customer and generates product information related to this product, and displays the product information on the first display device (13). Further, the product purchase support device (10) outputs the product information to the POS terminal device (20).
MOVING OBJECT DETECTION DEVICE, IMAGE PROCESSING DEVICE, MOVING OBJECT DETECTION METHOD, AND INTEGRATED CIRCUIT
A moving object detection device includes: an image capturing unit with which a vehicle is equipped, and which is configured to obtain captured images by capturing views in a travel direction of the vehicle; a setting unit configured to set, for each of frames that are the captured images, a movement vanishing point at which movement of a stationary object in the captured images due to the vehicle traveling does not occur; a calculation unit configured to calculate, for each of unit regions of the captured images, a first motion vector indicating movement of an image in the unit region; and a detection unit configured to detect a moving object present in the travel direction, based on the movement vanishing points set by the setting unit and the first motion vectors calculated by the calculation unit.
Systems and methods for machine learning based physiological motion measurement
A system for physiological motion measurement is provided. The system may acquire a reference image corresponding to a reference motion phase of an ROI and a target image of the ROI corresponding to a target motion phase, wherein the reference motion phase may be different from the target motion phase. The system may identify one or more feature points relating to the ROI from the reference image, and determine a motion field of the feature points from the reference motion phase to the target motion phase using a motion prediction model. An input of the motion prediction model may include at least the reference image and the target image. The system may further determine a physiological condition of the ROI based on the motion field.
Systems and methods for machine learning based physiological motion measurement
A system for physiological motion measurement is provided. The system may acquire a reference image corresponding to a reference motion phase of an ROI and a target image of the ROI corresponding to a target motion phase, wherein the reference motion phase may be different from the target motion phase. The system may identify one or more feature points relating to the ROI from the reference image, and determine a motion field of the feature points from the reference motion phase to the target motion phase using a motion prediction model. An input of the motion prediction model may include at least the reference image and the target image. The system may further determine a physiological condition of the ROI based on the motion field.
INFORMATION PROCESSING DEVICE, GENERATION METHOD, AND STORAGE MEDIUM
An information processing device configured to: specify, from a moving image obtained by imaging work of a person, a first plurality of stationary positions at which the person is stationary and a movement order in which the person moves through the first plurality of stationary positions, divide the first plurality of stationary positions into a first plurality of clusters by clustering the first plurality of stationary positions, when a cluster included in the first plurality of clusters includes a pair of stationary positions with a relationship of a movement source and a movement destination in the movement order, divide a second plurality of stationary positions included in the cluster into a second plurality of clusters by clustering the second plurality of stationary positions, and generate a region of interest in the moving image based on the second plurality of clusters.
ENHANCED ANIMATION GENERATION BASED ON MOTION MATCHING USING LOCAL BONE PHASES
Systems and methods are provided for enhanced animation generation based on using motion mapping with local bone phases. An example method includes accessing first animation control information generated for a first frame of an electronic game including local bone phases representing phase information associated with contacts of a plurality of rigid bodies of an in-game character with an in-game environment. Executing a local motion matching process for each of the plurality of local bone phases and generating a second pose of the character model based on the plurality of matched local poses for a second frame of the electronic game.
ENHANCED ANIMATION GENERATION BASED ON MOTION MATCHING USING LOCAL BONE PHASES
Systems and methods are provided for enhanced animation generation based on using motion mapping with local bone phases. An example method includes accessing first animation control information generated for a first frame of an electronic game including local bone phases representing phase information associated with contacts of a plurality of rigid bodies of an in-game character with an in-game environment. Executing a local motion matching process for each of the plurality of local bone phases and generating a second pose of the character model based on the plurality of matched local poses for a second frame of the electronic game.
METHOD AND APPARATUS FOR CONTROLLING DISTANCE MEASUREMENT APPARATUS
A method for controlling a distance measurement apparatus including a light emitting device capable of changing a direction of emission of a light beam and a light receiving device that detects a reflected light beam includes acquiring data representing a plurality of images acquired at different points in time by an image sensor that acquires an image of a scene, determining, on the basis of the data representing the plurality of images, a degree of priority of distance measurement of one or more physical objects included in the plurality of images, and executing distance measurement of the one or more physical objects by causing the light emitting device to emit the light beam in a direction corresponding to the degree of priority and in an order corresponding to the degree of priority and causing the light receiving device to detect the reflected light beam.