Abstract: In the behavior estimation device, a person feature extraction means extracts a feature of a person detected from a plurality of images in a time series. An object feature extraction means extracts a feature of an object detected from the plurality of images. A peripheral feature extraction means extracts a feature of a periphery of the person in the plurality of images. A feature aggregation means executes aggregation processing for aggregating the feature of the person, the feature of the object, and the feature of the periphery of the person. A behavior estimation processing means executes estimation processing for estimating the person's behavior included in the plurality of images based on information including a processing result of the aggregation processing.

Abstract: A video processing system includes an image quality control apparatus and a detection apparatus. The image quality control apparatus includes an image quality control unit configured to control image quality of each region of a video, and a transmission unit configured to transmit, to the detection apparatus, the video of which the image quality is controlled. The detection apparatus includes a detection unit configured to detect information regarding an object in the video transmitted from transmission unit, and a notification unit configured to notify the image quality control apparatus of a detection result of the detection unit. The image quality control apparatus further includes a determination unit configured to determine the image quality of each region of the video according to the detection result notified from the notification unit, the image quality being controlled by the image quality control unit.

Abstract: An information processing device according to the present disclosure includes: a memory configured to store instructions; and one or more processors configured to execute the instructions to: predict, for each of a plurality of cameras, a trajectory of an object included in at least one of a plurality of target images with reference to the plurality of target images captured by the plurality of cameras; transform each of the plurality of predicted trajectories into reference coordinates; calculate a degree of correlation with another trajectory for each of the plurality of trajectories transformed into the reference coordinates; integrate trajectories having the degree of correlation higher than a predetermined value; calculate parameters for spatially and temporally synchronizing images captured by the plurality of cameras with reference to the integrated trajectory; and transform each of the plurality of trajectories into the reference coordinate with reference to the parameter.

Abstract: An information processing device includes a memory configured to store instructions; and one or more processors configured to execute the instructions to: predict a trajectory of an object included in at least one of a plurality of target images with reference to a plurality of target images; extract a feature of the trajectory and calculate a reliability of the trajectory based on the feature; generate a virtual label in which each of the plurality of target images, a position of the object included in the target image, the trajectory, and the reliability are associated with each other; and learn a state transition model that predicts a state of an object included in a plurality of images by using the virtual label.

Abstract: A video processing system (10) includes an object detection unit (11) that detects an object included in a video input to the video processing system (10) in a case where the video is input to the video processing system (10). The video processing system (10) further includes a video quality control unit (12) that controls a video quality of a region including the object in the input video according to a situation related to the object detected from the input video in a case where the object detection unit (11) detects the object from the input video.

Abstract: A video processing apparatus according to one aspect of the present example embodiment includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: generate image quality feature information indicating a feature of image quality information indicating an image quality of a video in time and space; generate integrated data obtained by integrating information regarding a video including a feature of the video in time and space and the image quality feature information; and execute recognition processing on a subject included in the video based on the integrated data.

Abstract: A video processing system (10) according to the present disclosure includes a recognition model (M1), a recognition model (M2), a recognition model (M3), and a recognition model (M4) that have learned video learning data corresponding to different video quality parameters, for each of the video quality parameters; and a selection unit (11) that selects a recognition model that performs recognition regarding a target included in the video input data to be input, from among the recognition model (M1), the recognition model (M2), the recognition model (M3), and the recognition model (M4), according to a video quality parameter of the video input data.

Abstract: Provided is a video processing system including: a detection means for detecting a tracking target from an input video; a trajectory prediction means for predicting a trajectory of the tracking target in the video; and a tracking means for tracking the tracking target, and when there is a missing region in the video, for estimating a position of the tracking target in the missing region using a prediction result of the trajectory prediction means. The video processing system may further include a determination means for determining whether or not the tracking target tracked by the tracking means is the same as the tracking target detected by the detection means; and a trajectory information output means for assigning identification information to the detected tracking target.

Abstract: The image selection device 1X includes a text information acquisition means 30X, a score calculation means 34X, and an image selection means 35X. The text information acquisition means 30X is configured to acquire text information specifying an image to be acquired from an image group. The score calculation means 34X is configured to calculate a score which represents a degree of match between each image of the image group and the text information. The image selection means 35X is configured to select images from the image group by sampling based on a distribution of the score.

Abstract: An object is to provide a video processing system, a video processing apparatus, and a video processing method that can be expected to improve recognition accuracy of an object in a video. A video processing system includes video acquisition means, time difference information acquisition mean, and recognition means. The video acquisition means acquires an input video. The time difference information acquisition means acquires first time difference information between the frames of the input video. The recognition means inputs the input video and the first time difference information between the frames of the input video to a trained recognition model trained using a training video and second time difference information between frames of the training video and recognizing an object in the input video.

Abstract: A video processing system (10) includes a recognition model (M1) that analyzes a video corresponding to a first video recognition environment; a recognition model (M2) that analyzes a video corresponding to a second video recognition environment; and a switching unit (11) that switches a recognition model for analyzing video input data to be input, from the recognition model (M1) to the recognition model (M2) according to a change from the first video recognition environment to the second video recognition environment in the video input data, in which the switching unit (11) inputs video input data including data preceding a switching timing by a predetermined period to the recognition model 10 (M2) according to the change from the first video recognition environment to the second video recognition environment in the video input data.

Abstract: A video processing system (10) includes an image quality control unit (11) that controls an image quality of a gaze region including a gaze target in an input video, a recognition unit (12) that performs recognition processing of recognizing the gaze target on the video in which the image quality of the gaze region is controlled, a prediction unit (13) that predicts a position of the gaze target in a video subsequent to the video on which the recognition processing has been performed, based on extraction information extracted from the recognition processing, and a determination unit (14) that determines the gaze region for which the image quality control means (11) controls an image quality in the subsequent video, based on the predicted position of the gaze target.

Abstract: In the behavior estimation device, a person feature extraction means extracts a feature of a person detected from a plurality of images in a time series. An object feature extraction means extracts a feature of an object detected from the plurality of images. A peripheral feature extraction means extracts a feature of a periphery of the person in the plurality of images. A feature aggregation means executes aggregation processing for aggregating the feature of the person, the feature of the object, and the feature of the periphery of the person. A behavior estimation processing means executes estimation processing for estimating the person's behavior included in the plurality of images based on information including a processing result of the aggregation processing.

Abstract: An information processing apparatus includes at least one processor, and the at least one processor carries out: a detection process of detecting a person and an object based on sensor information; a recognition process of recognizing an action of the person based on a relevance between the person and the object; a measurement process of measuring, based on a recognition result of the action, a time period for which the person has continued the action; and a generation process of generating information indicating a degree of divergence from an action plan based on (i) the time period for which the action has been continued and (ii) a time period which is included in the action plan and for which the action should be continued, the action plan being related to the action of the person which has been recognized.

Abstract: An information processing apparatus includes at least one processor, and the at least one processor carries out: a detection process of detecting a person and an object based on sensor information; a recognition process of recognizing an action of the person based on a relevance between the person and the object; and a measurement process of measuring, based on a recognition result of the action, a time period for which the person has continued the action.

Abstract: An information processing apparatus includes at least one processor, and the at least one processor carries out: a detection process of detecting a person and an object based on sensor information; a recognition process of recognizing an action of the person based on a relevance between the person and the object; and a generation process of generating unsafety information pertaining to unsafety of the action with reference to a detection result and a recognition result.

Abstract: A game system including a server device connected to a network and one or more terminal devices operated by users and executing a video game that a player character plays a quest in a game space which has a quest data storing unit which stores quest data, a playing status storing unit which stores playing status of the quest, a quest control unit which permits the start of the quest, and a hint control unit which notifies the information for the starting conditions. The playing status storing unit acquires the playing status from the quest control unit and updates the playing status, and the hint control unit determines the information for the starting conditions based on the playing status.