A method of reducing false positives and identifying relevant true alerts in a video management system includes analyzing images to look for patterns indicating changes between subsequent images. When a pattern indicating changes between subsequent images is found, the video management system solicits from a user an indication of whether the pattern belongs to one of two or more predefined categories. The patterns indicating changes between subsequent images are saved for subsequent use. Subsequent images received from the video camera are analyzed to look for patterns indicating changes between subsequent images. When a pattern indicating changes between subsequent images is detected by the video management system, the video management system compares the pattern indicating changes between subsequent images to those previously categorized into one of the two or more predefined categories. Based on the comparison, the video management system may provide an alert to the user.

A feature region tracking process method includes temporarily stopping the output of camera images being successively acquired; accumulating, as accumulated image data, respective camera images that are successively acquired after the time of temporal stoppage, starting from the time of temporal stoppage; accepting position designation in a camera image being output at the time of temporal stoppage; and, when the position designation has been accepted, performing a tracking process in sequence on a feature region in the camera images included in the accumulated image data from the camera image acquired at the time of temporal stoppage to the latest camera image, using the designated position as the feature region.

An object of the invention is to provide a photographed target matching method and the like which allows video image data including a plurality of photographed targets and sensor data from terminals worn by the targets to be automatically associated with one another, so that a data set for analysis can be produced. According to the photographed target matching method according to the present invention, a gravitational acceleration component g.sub.c in a camera coordinate system is estimated for an arbitrary combination of a photographed target j in the camera video image and a terminal i from acceleration vectors a.sub.c.sup.(j)(t) of a plurality of photographed targets j produced from video image data from the camera and acceleration vectors a.sub.d.sup.(i)(t) obtained from the sensors of terminals i worn by the plurality of photographed targets, and a combination of (i, j, τ) is obtained which maximizes the correlation between an acceleration vector (a.sub.c.sup.(j)+g.sub.c) in the video data obtained by adding the gravitational acceleration component in a camera coordinate system and the acceleration vector a.sub.d.sup.(i)(t) of the terminal when these vectors are shifted by the estimated time gap τ and compared to match the target in the camera video image and the terminal.

A tooth brushing game includes starting counting a time that defines one play of a toothbrush game in response to starting the toothbrush game; capturing an image of a user; setting an area around a mouth by detecting a face area of the user from the captured image and detecting a facial part from the detected face area; detecting movement of an object including a toothbrush and a hand in the area around the mouth; controlling the toothbrush game based on the detected movement of the object; and stopping the counting of the time when the area around the mouth is not set but not stopping the counting when the movement of the object is not detected.

A method for detecting a jitter in a video includes obtaining video frames of a video, in which the video frames include a target video frame and a plurality of historical video frames before the target video frame, determining moving distances in a preset distance of the video frames relative to corresponding previous video frames, determining a target amplitude and a target period in the preset direction for the target video frame; and determining that there is a jitter in a video in response to the target amplitude in the preset direction determined for the target video frame being greater than a preset amplitude and the target period being less than a preset period.

Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

The disclosure describes systems of navigating a hazardous environment. The system includes personal protective equipment (PPE) and computing device(s) configured to process sensor data from the PPE, generate pose data of an agent based on the processed sensor data, and track the pose data as the agent moves through the hazardous environment. The PPE may include an inertial measurement device to generate inertial data and a radar device to generate radar data for detecting a presence or arrangement of objects in a visually obscured environment. The PPE may include a thermal image capture device to generate thermal image data for detecting and classifying thermal features of the hazardous environment. The PPE may include one or more sensors to detect a fiducial marker in a visually obscured environment for identifying features in the visually obscured environment. In these ways, the systems may more safely navigate the agent through the hazardous environment.

A system and method for guiding placement of a vehicle service external fixture relative to a vehicle undergoing service or inspection. A vehicle service system support structure having at least one camera module is positioned at an initial location within a vehicle service area, and a location of the initial location within a vehicle reference frame is established from images of optical targets secured to the vehicle. The vehicle service system support structure is subsequently repositioned relative to the vehicle to a new position located outside of an external fixture placement region, while maintaining at least one of the observed optical targets within a field of view of the camera module. The new position of the vehicle service system support structure within said vehicle reference frame is determined from target images, and a placement location within the placement region for the external fixture is identified relative to the vehicle.

A computer-implemented system and method of image cross-correlation improves the sub-pixel accuracy of the correlation surface and subsequent processing thereof. One or both of the template or search windows are resampled using the fractional portions of the correlation offsets X and Y produced by the initial image cross-correlation. The resampled window is then correlated with the other original window to produce a resampled cross-correlation surface. Removing the fractional or sub-pixel offsets between the template and search windows improves the “sameness” of the represented imagery thereby improving the quality and accuracy of the correlation surface, which in turn improves the quality and accuracy of the FOM or other processing of the correlation surface. The process may be iterated to improve accuracy or modified to generate resampled cross-correlation surfaces for multiple possible offsets and to accept the one with the most certainty.

A method for producing a media file with a blur effect in an electronic device is provided. The method includes segmenting an image frame into a plurality of segments. Further, the method includes determining at least one segment from the plurality of segments comprising one of a foreground Region of Interest (ROI) and a background region of the ROI and detecting whether one of the foreground region of the ROI and the background region of the ROI comprises motion information and static information. Further, the method includes automatically applying a motion type blur effect and/or a static type blur effect on one of the foreground region of the ROI, and the background region of the ROI. The method includes generating the media file based on the applied the motion type blur effect and the static type blur effect and storing the media file.