Chonnam National University

Korea Advanced Institute of Science and Technology

University Industry Liaison Office of Cnu

Kaist, Technology Commercialization Team

Chil Woo Lee

Sung Hyon Myaeng

Kyung Eun Park

Kyung Min Kim

Keun Chan Park

Yu Chul Jung

Seong Chan Kim

Hoon Choi

Jin Hyuk Choi

Yung Ho Seo

Jong Gu Kim

Chi Min Oh

Eun Ji You

Wook Hyun Shin

Hye Ju Jang

A method for tracking multiple image objects, includes resampling particles from each of the image objects tracked in a previous image, calculating respective weights of the resampled particles, and predicting and tracking locations of the image objects in a current image based on values obtained by multiplying the locations of the particles by corresponding weights, wherein when an image object of the previous image has a neighboring image object located within a threshold distance, weights of the particles sampled from the image object are calculated by multiplying image values of the current image by penalties, which are values of distances between the corresponding particles and the neighboring image object. The method is capable of avoiding a hijacking problem in which identifiers of nearby objects are confused with each other or disappear during the tracking of multiple objects.

Method for tracking multiple image objects based on a penalty graph for avoiding hijacking of a tracker

The present description relates to a BAN (Body Area Network) wireless communication control method, and more particularly, to a BAN wireless communication control method to which a selective discovery technique is applied. The present invention provides a BAN wireless communication control method, comprising the steps of transmitting a discovery request frame including a selective standard profile, and receiving a discovery response frame from a host that provides at least one of services specified in the selective standard profile.

Ban wireless communication control method using selective discovery

Disclosed is a mobile application search method and system using a human activity knowledge database. The mobile application search system includes a user interface unit that provides an input environment to allow a user to input a user query and displays a mobile application search result related to the user query and a mobile application search engine that receives the user query from the user interface unit and searches for a mobile application related to the user query using an activity knowledge database in which a list of elements involved in achieving a plurality of goals that people desire in daily life is stored. The present invention increases the user's satisfaction by solving a word mismatching problem between a user query and a mobile application and improves mobile application search performance using a human activity knowledge database.

Mobile application search method and system using human activity knowledge database

There are provided a method for managing and searching information in a mobile terminal and methodology for constructing the method. The method comprises: when a text is provided, preprocessing the provided text; extracting anchor text candidates in the preprocessed text; calculating relatedness between terms; determining ranking based on the relatedness using context information; and constructing a hypertext system for providing hypertext links to the provided text based on the ranking. Accordingly, there is provided a method for providing hypertext links in a mobile terminal, which provides information management and search function using the hypertext links, so that information in the mobile terminal can be constructed by the hypertext links, thereby promoting user's convenience.

Method for providing hypertext links in mobile terminal

Growing community of inventors

Gwangju, South Korea

Chil Woo Lee