Abstract:
The large display interaction implementations described herein combine mobile devices with people tracking to enable new interactions including making a non-touch-sensitive display touch-sensitive and allowing personalized interactions with the display. One implementation tracks one or more mobile computing device users relative to a large computer-driven display, and configures content displayed on the display based on a distance a given mobile computing device user is from the display. Another implementation personalizes user interactions with a large display. One or more mobile computing device users are tracked relative to a display. The identity of each of the one or more mobile computing device users is obtained. Content displayed on the display is configured based on a distance an identified mobile computing device user is from the display and the identity of the user that provides the content.
Abstract:
A display device (1) includes a screen (3), at least one sensor, and a processing unit (6) configured to manage content displayed on the screen (3) based on information received from the at least one sensor. The device (1) is configured to detect the presence of one or more user in the vicinity of the device (1) and display content, such as advertisements, on the screen based on information received from the sensors. A plurality of display devices may be interconnected to form a composite display system. The device/system may further use sensors to determine information/advertising content relevant to the demographic of the user(s).
Abstract:
The present invention relates to the field of identity recognition, and particularly relates to a face recognition system and a face recognition method, mainly comprising a lighting preprocessing module, a feature generation module, a facial feature library module, and a feature matching and recognition module. In the face recognition method, the inputted face image is first light-difference optimized by means of the lighting preprocessing module, then a feature vector of the face image is generated by means of the feature generation module; then, the feature vector to be recognized is matched with all of the feature vectors in the feature library and computed to arrive at an identity result corresponding to the feature vector to be recognized. In the technical solutions of the present invention, the identity of a face image to be recognized may be determined in real time for a system whose computing resources are limited, using a short period of time and having high accuracy.
Abstract:
The present invention is related to a picture processing method and apparatus, a computer program and a recording medium. The method comprises: recognizing a face in a picture of a user; determining a personal identity corresponding to the recognized face, the personal identity comprising at least one of an identification of a person corresponding to the face and a relationship between the person corresponding to the face and the user; acquiring photographing information of the picture, the photographing information comprising at least one of a photographing time and a photographing location of the picture; and generating a description of the picture according to the personal identity and the photographing information. With this technical solution, a description of the picture can be generated more accurately, the intelligence for automatic description of a picture is improved to be closer to human's ability to describe the picture, the user can quickly get an accurate knowledge of every picture, and user experience is improved.
Abstract:
The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are "out of stock".
Abstract:
The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are "out of stock".
Abstract:
Systems and methods are provided for automatically classifying videos based on faces discovered in the videos, wherein the discovered laces are not known to be associated with a particular category of videos. The detected face is compared to a set of unknown faces to generate a cluster of unknown faces that each match with the detected face. A set of categorized videos is identified based on the cluster of unknown faces. One or more categories are assigned to the video based on categories from the set of categorized videos so that the video can be automatically classified based on the detected face even though the detected face is not associated with a known person.
Abstract:
A face recognition apparatus comprises: an image input unit configured to input images captured by a camera at a first frame rate or a second frame rate higher than the first frame rate; a face recognition unit configured to recognize the face of a person contained in the input images; and a control unit configured to change an interval at which images are input from the first frame rate to the second frame rate if a specific condition on the tracking of the face recognized from the images input at the first frame rate is met.