公开(公告)号：US09111142B2

公开(公告)日：2015-08-18

申请号：US13899512

申请日：2013-05-21

Applicant: Electronics and Telecommunications Research Institute

Inventor： Dong Jin Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Myung Ae Chung

IPC: G06K9/00 ,  G06K9/32 ,  G06K9/44 ,  G06K9/48 ,  G10L13/00

CPC classification number: G06K9/00523 ,  G06K9/3258 ,  G06K9/44 ,  G06K9/481 ,  G06K2209/01 ,  G10L13/00

Abstract: A method and apparatus for proving sign information are disclosed. The sign information providing method includes: extracting a first sign from an input image, wherein the first sign is pre-defined; extracting a second sign representing information corresponding to the first sign around the location of the first sign, from the input image; and providing at least one piece of information of information about the first sign and information about the second sign in the form of voice. Accordingly, a user may correctly recognize information expressed by a sign.

Abstract translation: 公开了一种用于证明符号信息的方法和装置。 所述符号信息提供方法包括：从输入图像中提取第一符号，其中所述第一符号被预定义; 从所述输入图像中提取表示与所述第一符号的位置相对应的与所述第一符号相对应的信息的第二符号; 并且以语音的形式提供关于第一标志的信息的至少一条信息和关于第二标志的信息。 因此，用户可以正确地识别由符号表示的信息。

公开(公告)号：US09201425B2

公开(公告)日：2015-12-01

申请号：US14021983

申请日：2013-09-09

Applicant: Electronics and Telecommunications Research Institute

Inventor： Young Woo Yoon ,  Do Hyung Kim ,  Woo Han Yun ,  Ho Sub Yoon ,  Jae Yeon Lee ,  Jae Hong Kim ,  Jong Hyun Park

IPC: G05B15/00 ,  G05B19/00 ,  G05D1/02 ,  G06K9/00 ,  G06T7/20

CPC classification number: G05D1/0231 ,  G05D1/0248 ,  G06K9/00342 ,  G06T7/20 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: Provided are a human-tracking method and a robot apparatus. The human-tracking method includes receiving an image frame including a color image and a depth image, determining whether user tracking was successful in a previous image frame, and determining a location of a user and a goal position to which a robot apparatus is to move based on the color image and the depth image in the image frame, when user tracking was successful in the previous frame. Accordingly, a current location of the user can be predicted from the depth image, user tracking can be quickly performed, and the user can be re-detected and tracked using user information acquired in user tracking when detection of the user fails due to obstacles or the like.

Abstract translation: 提供了人类跟踪方法和机器人装置。 人体跟踪方法包括接收包括彩色图像和深度图像的图像帧，确定用户跟踪在先前图像帧中是否成功，以及确定用户的位置和机器人装置要移动的目标位置 基于图像帧中的彩色图像和深度图像，当用户跟踪在前一帧中成功时。 因此，可以从深度图像预测用户的当前位置，可以快速执行用户跟踪，并且可以使用用户跟踪中获取的用户信息来重新检测和跟踪用户，当用户的检测由于障碍物或者 类似。