Abstract: Disclosed herein are a method and apparatus for action detection. The method for action detection includes extracting chunk-level features for respective video frame chunks from a streaming video ranging from a past time point to a current time point, based on RGB frames, generating elevated feature information based on a chunk-level feature corresponding to the current time point for each of the video frame chunks, and detecting an action corresponding to the current time point based on the elevated feature information.

Abstract: The present disclosure relates to a method and apparatus for performing multiple tasks based on task similarity by using artificial intelligence. According to an embodiment of the present disclosure, a method for performing multi-task learning based on task similarity may include performing a similarity analysis between a first task and a second task and training a neural network for the second task based on a result of the similarity analysis. Herein, wherein in response to be determined that a first training dataset used for the first task and a second training dataset used for the second task are similar, the neural network may learn a second parameter allocated to the second training dataset based on a first parameter allocated to the first training dataset.

Abstract: A secondary battery includes: an electrode assembly including a first electrode plate, a second electrode plate, and a separator; a can having a closed upper surface with a rivet opening therein and an open lower surface to accommodate the electrode assembly, the can being electrically connected to the first electrode plate; a rivet terminal in the rivet opening and electrically connected to the second electrode plate; a gasket between the can and the rivet terminal; and a cap plate sealing the lower surface of the can.

Abstract: Disclosed herein are an object recognition apparatus and method based on environment matching. The object recognition apparatus includes memory for storing at least one program, and a processor for executing the program, wherein the program performs extracting at least one key frame from a video that is input in real time, determining a similarity between the key frame extracted from the input video and each of videos used as training data of prestored multiple recognition models, based on a pretrained similarity-matching network, and selecting a recognition model pretrained with a video having a maximal similarity to the key frame extracted from the input video, preprocessing the input video such that at least one of color and size of a video used as training data of an initial model is similar to that of the input video, and recognizing the preprocessed video based on the initial model.

Abstract: An electronic device according to an embodiment disclosed herein may include a memory including at least one instruction and a processor. By executing the at least one instruction, the processor may check feature information corresponding to a video and including at least one of an appearance-related feature value and a motion-related feature value from the video, calculate at least one of a starting score related to a starting point of an action instance, an ending score related to an ending point of an action instance, and a relatedness score between action instances on the basis of the feature information corresponding to the video, the action instances being included in the video, and generate an action proposal included in the video on the basis of the at least one score.

Abstract: Provided are an apparatus and method for recognizing whether an action objective is achieved. The apparatus includes a video feature extraction module configured to receive a video and output a video feature sequence through an operator, such as a convolution operator, an action case memory module configured to compress and store action case information for each action type and each of success and failure groups transmitted from the video feature extraction module and return the action case information according to a query including a pair of an action type and whether the action is successful, and an action success or failure determination module configured to receive a pair of a video feature sequence and an action type identifier and output whether an action of the given video feature sequence is successful in connection with the action case memory module.

Abstract: The present invention relates to a secondary battery, wherein the length of a second bending portion of a safety plate covering an extension portion of a cap-up can be adjusted to prevent deformation of the safety plate and improve the sealing force of the secondary battery, even when a crimping part having a flat upper structure in which the sealing force can deteriorate due to the low compression rate of an insulating gasket is used. For example, disclosed is a secondary battery comprising: a cylindrical can; an electrode assembly which, together with an electrolyte, is accommodated in the cylindrical can; a cap assembly coupled to an upper portion of the cylindrical can; and an insulating gasket interposed between the cap assembly and the cylindrical can. The cap assembly comprises: a cap-up; and a safety plate which is installed below the cap-up and has a second bending portion that surrounds an extension portion of an edge of the cap-up and covers a portion of the upper surface of the extension portion.

Abstract: Disclosed herein are an apparatus for detecting a moment described by a sentence query in a video and a method using the same. A method for detecting a moment described by a sentence query in a video includes dividing an input video into units of chunks and generating a chunk-level feature sequence based on features that are extracted in a form of vectors from respective chunks, dividing an input sentence query into units of words and generating a sentence-level feature sequence based on features that are extracted in a form of vectors from respective words, generating a chunk-sentence relation feature sequence including contextual information of the video by extracting a relation between the chunk-level feature sequence and the sentence-level feature sequence, and estimating a temporal interval corresponding to the sentence query in the video based on the chunk-sentence relation feature sequence.

Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.

Abstract: A method and apparatus for face recognition robust to an alignment of the face comprising: estimating prior information of a facial shape from an input image cropped from an image including a face using the first deep neural network (DNN); extracting feature information of facial appearance from the input image by using a second DNN; training, by using a face image decoder based on the prior information and the feature information, the face recognition apparatus; and extracting, from a test image, facial shape-aware features in the inference step by using the trained second DNN.

Abstract: Provided is an apparatus for online action detection, the apparatus including a feature extraction unit configured to extract a chunk-level feature of a video chunk sequence of a streaming video, a filtering unit configured to perform filtering on the chunk-level feature, and an action classification unit configured to classify an action class using the filtered chunk-level feature.

Abstract: A method and apparatus for detecting a garbage dumping action in real time on a video surveillance system are provided. A change region, which is a motion region, from an input image is detected, joint information including joint coordinates corresponding to a region in which joints exist is generated, and an object held by a person from the image using the change region and the joint information is detected. Then, an action of dumping the object based on a distance between the object and the joint coordinates is detected.

Abstract: An electronic device according to an embodiment disclosed herein may include a memory including at least one instruction and a processor. By executing the at least one instruction, the processor may check feature information corresponding to a video and including at least one of an appearance-related feature value and a motion-related feature value from the video, calculate at least one of a starting score related to a starting point of an action instance, an ending score related to an ending point of an action instance, and a relatedness score between action instances on the basis of the feature information corresponding to the video, the action instances being included in the video, and generate an action proposal included in the video on the basis of the at least one score.

Abstract: Disclosed herein are mammography device for X-ray photographing a breast and a method of photographing an object to be inspected using the same. The mammography device includes: a generator irradiating an X-ray; a detector facing the generator; a pressing pad moving between the generator and the detector to press an object to be inspected; a biological index deciding unit deciding a biological index of a subject; and a controller controlling a movement distance and a velocity of the pressing pad on the basis of the biological index decided in the biological index deciding unit.

Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.

Abstract: Provided is a dynamic object detecting technique, and more specifically, a system and method for determining a state of a motion of a camera on the basis of a local motion estimated on the basis of a video captured by a dynamic camera and a result of analyzing a global motion, flexibly updating a background model according to the state of the motion of the camera, and flexibly detecting a dynamic object according to the state of the motion of the camera.

Abstract: The present invention relates to a secondary battery capable of improving the coupling force between a safety vent and a cap-up. For example, disclosed is a secondary battery comprising: an electrode assembly; a case for accommodating the electrode assembly; a cap assembly coupled to the upper part of the case; and a gasket interposed between the cap assembly and the case, wherein the cap assembly includes a cap-up and a safety vent, which is provided at the lower part of the cap-up and has a vent extension part extending to the upper part of the cap-up so as to encompass the edge of the cap-up, a welding region, in which the safety vent and the cap-up are welded and coupled by laser welding, is formed in the vent extension part, and the welding region is formed in a line shape.

Abstract: A packing tray for a rechargeable battery is disclosed. In one aspect, the tray includes a bottom portion and an inner wall connected to the bottom portion. The bottom portion and the inner wall define a receiving space configured to receive a battery cell. The inner wall includes upper and lower portions. The lower portion extends upwardly, and the upper portion is outwardly curved such that the upper portion is wider than the lower portion.

Abstract: Smart glasses for selectively tracking a target of visual cognition according to the present invention include a first camera configured to capture a first input image that is a first-person view image of a user, a second camera configured to capture a second input image containing sight line information of the user, a display configured to output additional information corresponding to the first input image, a memory configured to store a program for selectively tracking a target of visual cognition on the basis of the first and second input images, and a processor configured to execute the program stored in the memory, wherein upon executing the program, the processor is configured to detect the target of visual cognition from the first input image and determine, from the second input image, whether the user is in an inattentive state with respect to the target of visual cognition.

Abstract: A secondary battery includes an electrode assembly including a first electrode plate including a first electrode tab, a second electrode plate including a second electrode tab, and a separator interposed between the first electrode plate and the second electrode plate, a case accommodating the electrode assembly, and a cap assembly covering a top portion of the case. Any one of the first electrode tab and the second electrode tab includes a multi-layer clad electrode tab including two copper (Cu) layers.