Abstract: In an embodiment an apparatus includes a processor configured to generate a feature extraction module using a dataset in which an attribute for each object is defined, receive an image obtained by a camera, extract an attribute of an object of interest from the image using the learned feature extraction module, identify an object re-identification candidate group based on the extracted attribute of the object of interest and re-identify the object of interest based on the identified object re-identification candidate group.

Abstract: The present invention relates to a method for preparing a sulfide-based solid electrolyte, a sulfide-based solid electrolyte prepared by the method, and an all-solid-state lithium secondary battery including the sulfide-based solid electrolyte. The method of the present invention includes a) mixing Li2S with P2S5 to prepare a mixed powder, b) placing the mixed powder, an ether, and stirring balls in a container, sealing the container, followed by stirring to prepare a suspension, and c) stirring the suspension under high-temperature and high-pressure conditions to prepare sulfide-based solid particles.

Abstract: An apparatus and a method for re-identifying an object to improve object re-identification performance using attribute information of the object are provided. The apparatus trains an object representation extraction model to train attribute representations, inputs an image obtained by a camera to the trained object representation extraction model, extracts object representations from the image using the trained object representation extraction model, and performs object re-identification based on the object representations.

Abstract: The present disclosure can provide a person re-identification apparatus and method that includes an identity feature extraction part configured to receive a multiple number of images each including a person requiring re-identification, extract features related to an identity of a person included in each image according to a pattern estimation method learned beforehand, and obtain an identity-related feature vector for each image; and a re-identification determination part configured to analyze a degree of similarity between an identity-related feature vector obtained for a base image including a search target from among the plurality of images and an identity-related feature vector obtained for another image to determine whether or not a person corresponding to the search target is included in the other image.

Abstract: The present disclosure can provide a person re-identification apparatus and method that includes an identity feature extraction part configured to receive a multiple number of images each including a person requiring re-identification, extract features related to an identity of a person included in each image according to a pattern estimation method learned beforehand, and obtain an identity-related feature vector for each image; and a re-identification determination part configured to analyze a degree of similarity between an identity-related feature vector obtained for a base image including a search target from among the plurality of images and an identity-related feature vector obtained for another image to determine whether or not a person corresponding to the search target is included in the other image.