Systems and methods for tracking and re-identifying tracked subjects in an area of real space are disclosed. The method includes generating first and second reidentification feature vectors of a first subject identified from a first time interval from the respective first and second sequences of images as obtained from the first time interval. The method includes generating third and fourth reidentification feature vectors of a second subject identified from a second time interval from the respective first and second sequences of images. The method includes matching a second subject identified from a second time interval with the first subject identified from the first time interval when at least one of a first similarity score between the first and the third reidentification feature vectors and a second similarity score between the second and the fourth reidentification feature vectors is above a pre-defined threshold.

In some embodiments, apparatuses and methods are provided herein useful to detecting inbound and outbound traffic. In some embodiments, there is provided a system for detecting inbound and outbound traffic at a facility including a video camera and a control circuit configured to detect a human and estimate a location of the human; determine whether the detected human is inbound or outbound the facility based on a relative movement of the detected human within a first region, a second region, and a third region; and transmit data based on the determination.

An example apparatus for re-identifying objects includes an image receiver to receive a first image and a second image of an object with an identity. The apparatus also includes a fused model generator to fuse a global representation of the object with local representations of pose parts of the object to generate a fused representation of the object based on the first image. The apparatus further includes an object re-identifier to re-identify the object with the identity in the second image based on the fused representation.

The present disclosure relates to method and computing system for facilitating social distancing for an area having a crowd of people. The method comprises identifying a plurality of regions in an area. Further, the method comprises classifying each of the regions as either a sparse zone or a crowded zone based on a crowding level of the region. Furthermore, the method comprises controlling an indicator to provide an alert to the people in one of the regions that has been classified as a crowded zone providing information relating to one of the regions that has been classified as a sparse zone.

Inside a railway train, a wall or door is set between the non-restricted carriage and the restricted carriage for separation, including the instruction system, execution system and server. The said instruction system comprises a passenger counting unit, a gate instruction unit and a storage unit; the said execution system comprises a gate control unit arranged on a riding area computer at the next station; and the passenger counting unit transmits the total number of passengers that have entered the restricted carriage to the gate instruction unit. The gate instruction unit obtains the gate instruction based on the total number of passengers that have entered the restricted carriage. The gate control unit of the riding area computer at the next station also executes the gate instruction, so as to control the number of passengers that have entered the riding area within the maximum number of passengers.

An information processing apparatus comprising a traffic line information generation unit configured to generate, based on information provided from an image capturing apparatus arranged in a store, traffic line information in the store of a customer who visits the store, an acquisition unit configured to acquire purchased product information associated with a product purchased by the customer in the store, a purchase information generation unit configured to generate purchase information based on the purchased product information by associating the traffic line information and the purchased product with the customer, and a display information generation unit configured to generate, based on the purchase information, display information for displaying information about one of a customer and a product in association with a time taken to select the purchased product and a selection order of the purchased product.

An approach is disclosed for detecting cornering spots capable of facilitating crowd control by limiting a mobility of a crowd. The approach involves, for example, collecting satellite, aerial, and/or street-level imagery associated with one or more geographic features of a geographic area. The approach also involves determining at least one cornering spot along with one or more attributes of the cornering spot characterizing the effectiveness of the cornering spot to assist in crowd control. Cornering spot data can be stored in a geographic database and/or displayed in an application on user equipment.

A low-cost, low-power, stand-alone sensor platform having a visible-range camera sensor, a thermopile array, a microphone, a motion sensor, and a microprocessor that is configured to perform occupancy detection and counting while preserving the privacy of occupants. The platform is programmed to extract shape/texture from images in spatial domain; motion from video in time domain; and audio features in frequency domain. Embedded binarized neural networks are used for efficient object of interest detection. The platform is also programmed with advanced fusion algorithms for multiple sensor modalities addressing dependent sensor observations. The platform may be deployed for (i) residential use in detecting occupants for autonomously controlling building systems, such as HVAC and lighting systems, to provide energy savings, (ii) security and surveillance, such as to detect loitering and surveil places of interest, (iii) analyzing customer behavior and flows, (iv) identifying high performing stores by retailers.

There is provided an image processing apparatus, an image processing method, and a program that enable display of an advertisement in an appropriate region within a captured image. The image processing apparatus sets, on the basis of density of people in a predetermined region within a captured image, an advertisement display region for superimposition of an advertisement image on the captured image. The present technology is applicable to a television (TV) broadcast system.

Provided is a gate device that accurately determines a user who is an authentication target. This gate device is provided with an acquisition unit, a setting unit, and a gate control unit. The acquisition unit acquires an image from a camera. When a plurality of users are included in the acquired image, the setting unit specifies a user on the front row among the plurality of users in accordance with the respective positions of the plurality of users in the image, and sets the specified user as an authentication target person. The gate control unit controls a gate on the basis of a authentication result of the authentication target person.