Abstract:
Disclosed are an object tracking method and an object tracking apparatus performing the object tracking method. The object tracking method may include extracting locations of objects in an object search area using a global camera, identifying an interest object selected by a user from the objects, and determining an error in tracking the identified interest object and correcting the determined error.
Abstract:
Provided is an object detecting method and apparatus, the apparatus configured to extract a frame image and a motion vector from a video, generate an integrated feature vector based on the frame image and the motion vector, and detect an object included in the video based on the integrated feature vector.
Abstract:
Disclosed herein are a method and an apparatus for controlling an interactive lecture service capable of performing questions and answers during a lecture without using a media mixer. A method for providing a media stream switching based interactive lecture service, includes: receiving a right to speak request from at least one student terminal by a lecturer terminal; assigning the right to speak to a specific student terminal in response to the right to speak request and receiving at least one of the question video and voice of the specific student terminal, by the lecturer terminal; and transmitting at least one of the receiving question video and voice of the specific student terminal to a terminal included in a lecture session by the lecturer terminal.
Abstract:
Provided are an apparatus and method for generating a best-view image centered on a object of interest in multiple camera images. The apparatus and method for generating a best-view image centered on a object of interest in multiple camera images accurately provide a best-view image clearly showing a figure, a motion, or the like of a object of interest desired by a viewer by selecting the best-view camera image on the basis of a criterion of a judgment about the best-view image centered on the object of interest.
Abstract:
Provided are a screen compression service method and a virtual network apparatus performing the method. Specifically, the screen compression service method relates to a method which compresses a remote screen of a virtual machine remotely accessed through a virtual network apparatus of a network function virtualization (NFV) infrastructure separate from a cloud infrastructure where the virtual machine runs, and transmits the compressed remote screen to a user device.
Abstract:
An apparatus and method for verifying broadcast content object identification based on web data. The apparatus includes: a web data processor configured to collect and process web data related to broadcast content and create content knowledge information by tagging the web data to the broadcast content; a content knowledge information storage portion configured to store the content knowledge information; and an object identification verifier configured to verify a result of identifying an object contained in the broadcast content, using the content knowledge information.
Abstract:
The present invention provides a malicious application detecting apparatus based on a visualization similarity, including: a first storing unit which classifies malicious applications for every group in accordance with characteristics and stores the malicious applications; a second storing unit which stores a target application; an image generating unit which analyzes the malicious applications to generate first visualization images and analyzes the target application to generate a second visualization image; a representative image selecting unit which selects representative images for every group using a similarity of the first visualization images; and a determining unit which compares the representative images with the second visualization image to determine whether the target application is a malicious application.
Abstract:
The present disclosure discloses a method of determining precise positioning. A method of determining precise positioning according to an embodiment of the present disclosure includes: determining at least one piece of image positioning information of at least one image object detected from at least one image; determining at least one piece of wireless positioning information of at least one wireless object on the basis of signal strength of a wireless signal; performing mapping for the at least one piece of image positioning information and the at least one piece of wireless positioning information; and determining final positioning information on the basis of the at least one piece of image positioning information, and the at least one piece of wireless positioning information for which mapping is performed.
Abstract:
Provided is a system for conducting the fast inspection of Android malwares, the system including a processor configured to compute the similarity between the signature for a given target application and one of signatures stored in a database, and a determiner configured to determine whether the target application is a malware based on the computed similarity, wherein the system relates to the technology for examining whether a certain Android application, which can be downloaded via a uniform resource locator (URL), is malicious by examining how similar the application is with the malwares and normal applications verified earlier.
Abstract:
The present invention relates to a system for tracking an object. The system includes an image capturing unit configured to capture a video of a predetermined observation area and output the captured video; and a multi-object tracker configured to output an object-tracking image by tracking multiple objects within an object image which is generated by extracting the objects from each of image frames obtained from the video obtained from the image capturing unit, wherein the multi-object tracker determines whether occlusion of the objects or hijacking occurs while performing multi-object tracking, and when it is determined that at least one of the occlusion and hijacking occurs, the multi-object tracker outputs the object-tracking image corrected by removing the occurring occlusion or hijacking.