An image processing apparatus comprising, a tracking unit configured to detect an object and track the object in images to be processed, the images being sequential with respect to time, a determining unit configured to determine a stay time for which the object stays, on the basis of a result of the tracking, and an associating unit configured to specify, on the basis of the result of the tracking, one predetermined location from one or more predetermined locations included in the images to be processed, and associate the specified one predetermined location with the stay time.

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. In some embodiments, the video camera is at least one of a traffic camera or an aerial drone camera. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication device data.

Systems and methods for processing occupancy of a space are described herein. The system determines real-time occupancy counts for monitored zones based on obtaining real-time data from various devices, such as sensors and/or user devices; grouping the data according to types of devices that provided the data; and calculating an occupancy count for each of the monitored zones based on integrating the data according to the groupings.

This disclosure provides methods, devices, and systems for controlling motion-activated cameras. The present implementations more specifically relate to reducing false triggers in motion-activated camera systems. In some implementations, a motion-activated camera system may include a camera, a first motion sensor having a wide field-of-view (FOV), and a second motion sensor having a narrow FOV. In some aspects, the motion-activated camera system may be configured to operate in a wide-FOV mode or a narrow-FOV mode. In some implementations, the first motion sensor may trigger the camera to capture images of a scene responsive to motion detected in the wide FOV when the system is configured to operate in the wide-FOV mode. In some other implementations, the second motion sensor may trigger the camera to capture images of the scene responsive to motion detected in the narrow FOV when the system is configured to operate in the narrow-FOV mode.

A congestion rate calculation unit calculates a congestion rate in the cabin based on the number of recognized passengers. When the congestion rate is more than a predetermined congestion threshold, an in-vehicle display and an in-vehicle speaker are capable of giving an alighting notification that notifies the presence of a passenger who is alighting at the next stop and seat information of the passenger, and does not make an alighting notification when the congestion rate is less than or equal to the congestion threshold in the process of the passenger vehicle heading to the next stop.

The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires a capture image capturing a movement means, an image analysis unit (12) that computes, based on the capture image, the number of persons each having an attribute satisfying a first criterion among persons inside the movement means, and the number of persons targeted for comparison, a computation unit (13) that computes a ratio of the number of persons satisfying the first criterion to the number of persons targeted for comparison, and an output unit (14) that outputs alert information when the ratio satisfies an alert condition.

In an approach for dynamically adjusting parallel reality (PR) displays, a processor configures a viewing event. A processor receives data from data collecting devices located throughout a location of the viewing event. A processor classifies a crowd of the viewing event into at least two partitions using a learning-based neural network that ingests the data. A processor selects content to be displayed to each of the at least two partitions. A processor enables a PR display to simultaneously display the content to each of the at least two partitions.

A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for group identification and monitoring. The methods, systems, and apparatus include actions of determining, using one or more first frames of a video sequence, that two people each of whom is depicted in at least one of the first frames satisfy a grouping criteria that indicates that the two people should be grouped for video analysis, determining, using one or more second frames of the video sequence at least some of which were captured after the one or more first frames and which depict at least one of the two people, that the two people satisfy a degrouping criteria that indicates that the two people should not be grouped for video analysis, determining that a physical distance between the two people violates a distance criteria, and providing an alert that the distance criteria is violated.

Disclosed herein are methods and system for determining whether a user is wearing a mask, comprising receiving one or more infrared images depicting the user's face in one or more infrared spectral ranges and one or more visible light images depicting the user's face in visible light spectral range, registering the infrared image(s) to the visible light image(s), computing luminance values of a plurality of pixels relating to the user's face in the visible light image(s), computing infrared reflectiveness values of corresponding pixels in the registered infrared light image(s), computing, for each of the pixels, a difference between the luminance value and the infrared reflectiveness value and determining the user is genuine and not wearing a mask in case an aggregated difference aggregating the difference values of the pixels relating to the user's face exceeds a certain value.