A vehicle computing system may implement techniques to predict behavior of objects detected by a vehicle operating in the environment. The techniques may include determining a feature with respect to a detected objects (e.g., likelihood that the detected object will impact operation of the vehicle) and/or a location of the vehicle and determining based on the feature a model to use to predict behavior (e.g., estimated states) of proximate objects (e.g., the detected object). The model may be configured to use one or more algorithms, classifiers, and/or computational resources to predict the behavior. Different models may be used to predict behavior of different objects and/or regions in the environment. Each model may receive sensor data as an input, and output predicted behavior for the detected object. Based on the predicted behavior of the object, a vehicle computing system may control operation of the vehicle.

A system and method for an interactive digitally rendered avatar of a subject person to participate in a web meeting is described. In one embodiment, the method includes receiving an invite to a web meeting on a video conferencing platform, wherein the invite identifies a subject person and the video conferencing platform. The method also includes generating an interactive avatar of the subject person based on a data collection associated with the subject person stored in a database. The method further includes instantiating a platform integrator associated with the video conferencing platform identified in the invite and joining, by the interactive avatar of the subject person, the web meeting on the video conferencing platform. The platform integrator transforms outputs and inputs between the video conferencing platform and an interactive digitally rendered avatar system so that the interactive avatar of the subject person participates in the web meeting.

A method including providing a sensor device including one or several sensors. The sensor device is arranged to perform at least one high-power type measurement and at least one low-power type measurement and includes at least one image sensor arranged to depict a person by a measurement of said high-power type. Each of the low-power type measurements over time requires less electric power for operation as compared to each of the high-power type measurements. The method includes detecting a potential presence of the person using at least one of said low-power type measurements. The method includes producing, using one of the high-power type measurements, an image depicting a person and detecting a presence of the person based on im-age analysis of the image. The method includes detecting, using at least one of the low-power type measurements, a maintained presence of the person. The method includes failing to detect a maintained presence of the person.

A method and apparatus for waking up a device, an electronic device, and a storage medium are provided, which are related to fields of image processing and deep learning. The method includes: acquiring an environment image of a surrounding environment of a target device in real time, and recognizing a face region of a user in the environment image; acquiring a plurality of facial landmarks in the face region, and acquiring a left eye image and a right eye image according to the facial landmarks; acquiring a left eye sight classification result and a right eye sight classification result according to the left eye image and the right eye image; and waking up the target device in a case of determining that the user is looking at the target device according to the left eye sight classification result and the right eye sight classification result.

System and methods for processing audio signals are disclosed. In one implementation, a system may comprise a wearable camera configured to capture images from an environment of a user; a microphone configured to capture sounds from the environment of the user; and a processor. The processor may be configured to receive at least one image of the plurality of images, the at least one image comprising a plurality of image portions associated with corresponding image portion timestamps; receive at least one audio signal representative of the sounds captured by the at least one microphone; identify an audio timestamp associated with a portion of the audio signal; identify an image portion from among the plurality of image portions, the image portion having an image portion timestamp associated with the audio timestamp; and analyze the image portion to identify a voice originating from an object represented in the image.

An example method includes causing a light projecting system of a distance sensor to project a three-dimensional pattern of light onto an object, wherein the three-dimensional pattern of light comprises a plurality of points of light that collectively forms the pattern, causing a light receiving system of the distance sensor to acquire an image of the three-dimensional pattern of light projected onto the object, causing the light receiving system to acquire a two-dimensional image of the object, detecting a feature point in the two-dimensional image of the object, identifying an interpolation area for the feature point, and computing three-dimensional coordinates for the feature point by interpolating using three-dimensional coordinates of two points of the plurality of points that are within the interpolation area.

The present disclosure provides a verification system. The verification system is formed with a trusted execution environment, the verification system includes a processor set, and the processor set is configured to: obtain an infrared image to be verified of a target object; determine, in the trusted execution environment, whether the infrared image to be verified matches a pre-stored infrared template; in response to determining that the infrared image to be verified matches the pre-stored infrared template, obtain a depth image to be verified of the target object; and determine, in the trusted execution environment, whether the depth image to be verified matches a pre-stored depth template.

An exemplary method includes maintaining a receiver-side mesh-vertices list, receiving duplicative-vertex information from a sender, and responsively reducing the receiver-side mesh-vertices list in accordance with the received duplicative-vertex information, and rendering, using the reduced receiver-side mesh-vertices list, viewpoint-adaptive three-dimensional (3D) personas of a subject at least in part by weighting video pixel colors from different video-camera vantage points of video cameras that capture video streams of the subject, the weighting being performed according to a respective geometric relationship of each video-camera vantage point to a user-selected viewpoint.

The present invention relates to a method for conducting a videoconference including a certified verification of at least one communication partner (first participant). Thus, another communication partner (second participant) is provided with legal certainty that the person whom he or she talks to is indeed the person she says she is. For this purpose, on the side of the first participant a technical verification step is performed in advance of setting up the video call, which is based at least on a comparison of an image of the first participant captured in real-time and an image available on an official document such as an ID card of the first participant. In case of success, respective verified identification information of the first participant is transmitted to the terminal equipment of the second participant and indicated to the second participant.

A method includes providing a mission regarding image capturing to a user terminal having an image capture function, evaluating an image transmitted from the user terminal in response to the mission, and additionally providing a new mission regarding image capturing to the user terminal in a case where a level of achievement of the mission is determined to satisfy a criterion based on the evaluation.