A method and a device for operating a robot are provided. According to an example of the method, information of a first gesture is acquired from a group of gestures of an operator, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions. A first operation instruction from the group of operation instructions is obtained based on the acquired information of the first gesture, the first operation corresponding to the first gesture. The first operation instruction is executed.

In one embodiment, an image analysis is performed on an image captured using a camera mounted on an autonomous vehicle, the image representing an exterior environment of an autonomous vehicle. Localization information surrounding the autonomous vehicle is obtained at a point in time. A perception of an audience external to the autonomous vehicle is determined based on the image analysis and the localization information. One or more content items are received from one or more content servers over a network in response to the perception of the audience. A first content item selected from the one or more content items is displayed on a display device mounted on an exterior surface of the autonomous vehicle.

A method of detecting attempted fraud against a system recognising the iris of the human eye includes generation of a first image of an iris using first means of image capture in a visible light spectrum, and generation of a second image of said iris using second means of image capture in a near infra-red spectrum. The method also includes determination of at least one characteristic of the first image as a function of respective optical characteristics of pixels of a plurality of pixels of this first image and determination of at least one characteristic of the second image determined as a function of respective luminous intensities of pixels of a plurality of pixels of this second image. As a function of these determined characteristics, a signal representative of suspected detection of attempted fraud is generated.

Systems and methods for obstacle detection and state information determination are provided. In some embodiments, a movable object may carry one or more imaging devices. The imaging devices may be arranged on the movable object so as to have a field of view oriented vertically relative to the movable object. The arrangement of the imaging device may complement or supplant existing arrangement schemes and provide efficient, multi-functional and cost-effective means of arranging imaging devices on movable objects.

A method and an associated device for detecting fraud during automatic face recognition, the method comprising the following steps: acquiring a first image of the face by means of a first sensor having a first field angle, and a second image of the face by means of a second sensor having a second field angle that is narrower than the first field angle; analyzing the first image to verify that there is no frame around the face; and analyzing the second image to verify that there is no moiré effect.

An Internet of Thing (IoT) sport device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

A situation identification method includes acquiring a plurality of images; identifying, for each of the plurality of images, a first area including a bed area where a place to sleep appears in an image, and a second area where an area in a predetermined range around the place to sleep appears in the image; detecting a state of a subject to be monitored for each of the plurality of images based on a result of detection of a head area indicating an area of a head of the subject in the first area and a result of detection of a living object in the second area; when the state of the subject changes from a first state to a second state, identifying a situation of the subject based on a combination of the first state and the second state; and outputting information that indicates the identified situation.

An assist method for coupling a motor vehicle to a trailer, wherein the motor vehicle includes a trailer coupling, at least one camera, a display, and an electronic unit, and wherein the trailer includes a tow bar for the trailer coupling. The assist method captures a first image of at least one tow bar of a trailer by the camera, displays the first image on the display, selects a first region in the first image in which the tow bar is located, enlarges the selected first region to produce a second image, displays the second image on the display, selects a second region in the second image in which the tow bar is located, and determines a trajectory of the motor vehicle for coupling the trailer assuming that the tow bar is located in the second region.

An image forensics system estimates a camera response function (CRF) associated with a digital image, and compares the estimated CRF to a set of rules and compares the estimated CRF to a known CRF. The known CRF is associated with a make and a model of an image sensing device. The system applies a fusion analysis to results obtained from comparing the estimated CRF to a set of rules and from comparing the estimated CRF to the known CRF, and assesses the integrity of the digital image as a function of the fusion analysis.