A method comprising: automatically processing recorded first sensor data from a scene to recognise automatically a first user input from user action in the scene; in response to recognition of the first user input, automatically entering a learning state to enable: automatic processing of the first sensor data from the scene to capture an ad-hoc sequence of spatial events in the scene subsequent to the first user input and automatic processing of subsequently recorded second sensor data from the scene different to the first sensor data of the scene, to recognise automatically a sequence of spatial events in the subsequently recorded second video corresponding to the captured sequence of spatial events.

A method and an apparatus for generating an initial superpixel label map for a current image from an image sequence are described. The apparatus includes a feature detector that determines features in the current image. A feature tracker then tracks the determined features back into a previous image. Based on the tracked features a transformer transforms a superpixel label map associated to the previous image into an initial superpixel label map for the current image.

A vehicle assistance system for a vehicle is provided. A corresponding computer implemented method and computer program product are also provided.

A method implemented by a transmission device to communicate with multiple reception devices that respectively share a drawing area with the transmission device is provided. The transmission device transmits to the multiple reception devices vector-data ink data representative of traces of input operation detected by an input sensor of the transmission device. The method includes: (a) an ink data generation step of generating fragmented data of a stroke object, wherein the stroke object contains multiple point objects to represent a trace formed by a pointer, the fragmented data being generated per defined unit T, and generating a drawing style object; (b) a message formation step of generating messages including the drawing style object and the fragmented data; and (c) a transmission step of transmitting the messages.

System, method and architecture for providing improved visual recognition by modeling visual content, semantic content and an implicit social network representing individuals depicted in a collection of content, such as visual images, photographs, etc., which network may be determined based on co-occurrences of individuals represented by the content, and/or other data linking the individuals. In accordance with one or more embodiments, using images as an example, a relationship structure may comprise an implicit structure, or network, determined from co-occurrences of individuals in the images. A kernel jointly modeling content, semantic and social network information may be built and used in automatic image annotation and/or determination of relationships between individuals, for example.

Provided is a method for adjusting a screen display direction and a terminal. The method includes the follows. At least one authority fingerprint is acquired, and the authority fingerprint is a fingerprint having the authority of changing a screen display direction. A first fingerprint is acquired. When the first fingerprint is the authority fingerprint, an input direction of the first fingerprint is acquired. The screen display direction is adjusted according to the input direction of the first fingerprint. If the first fingerprint is acquired again, a time period for acquiring the first fingerprint is recorded. The size of the screen display area is adjusted according to the recorded time period of the first fingerprint.

The present disclosure provides a photo-taking prompting method and apparatus, an apparatus and a non-volatile computer storage medium. On the one hand, a user's image information is collected while the user finds view, then the user's face posture information is obtained from the image information, then face posture information of a preset photo-taking template is compared with the user's face posture information, and the user is prompted to adjust the face posture according to a comparison result. The technical solutions provided by embodiments of the present disclosure may implement prompting the user's face posture adjustment while the user finds view and thereby implement providing guidance for the user's face posture, and solve the problem in the prior art about failure to perform photo-taking guidance while the user finds view.

Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group.

In the fingerprint identification system according to the present disclosure, the fingerprint sensor collects multiple frames of fingerprint images sliding-inputted by a user, the judging unit determines whether, among the multiple frames of fingerprint images, there is a first overlap region between a current frame of fingerprint images and a previous frame of fingerprint images; if yes, the judging unit removes the first overlap region from the current frame of fingerprint images and superposes the previous frame of fingerprint images with the current frame of fingerprint images to form a superposed fingerprint image; the judging unit completes judgment of all the multiple frames of fingerprint images to obtain a template fingerprint image; the processing unit saves characteristic points of the complete template fingerprint image. The fingerprint sensor collects a to-be-identified fingerprint image pressing-inputted by the user, and the processing unit determines whether the characteristic points of the to-be-identified fingerprint image match with the characteristic points of the template fingerprint image. When establishing template fingerprint database, the fingerprint identification system collects the fingerprint sliding-inputted by the user and the to-be-identified fingerprint pressing-inputted by the user in the subsequent matching process. Therefore, the input and identification efficiency is much higher than that of existing methods. The present disclosure also provides a fingerprint identification method and an electric equipment.

A fingerprint detection circuit and an electronic device are provided. The fingerprint detection circuit is configured to apply an excitation signal to a finger so as to generate finger capacitors, and the fingerprint detection circuit includes: a signal amplifier having a negative input terminal connected with one of the finger capacitors, a positive input terminal connected with a ground terminal, and an output terminal to output an output voltage according to a capacitance value of the one of the finger capacitors; a capacitor connected between the negative terminal and the output terminal of the signal amplifier; a rheostat; and a switch unit connected with the rheostat in series and configured to control the rheostat to be connected with the capacitor in parallel, such that the output voltage has a non-linear relationship with the capacitance value of the one of the finger capacitors.