• Title/Summary/Keyword: human tracking

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A Study on 2-Dimensional Sound Source Tracking System (2차원적 음원추적에 관한 연구)

  • 문성배;전승환
    • Journal of the Korean Institute of Navigation
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    • v.20 no.4
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    • pp.71-79
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    • 1996
  • When navigating in or near an area of restricted visibility, it is necessary to be heard the whistle, bell and/or the siren of lighthouses or ships at times. Even though we can get the brief informations about the property of sound, the direction and range of a sound radiator, it is not enough to get the accurate informations for decision making. Generally the audio frequency is known as 16~20, 000Hz, but the earshot is shorten and discrimination of sound is more difficult when there is some noise. The sound pressure is 60dB at the moment when human speaks 1 meter away. Usually the noise pressures are 40dB in a silent room and 60dB on the quiet street, respectively. It this study, the basic algorithm and a method of signal processing are suggested to trace the direction and range of the source radiator using the signals received through not a physical sense but the microphone sensors.

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Stereo-based Human Upper Body Tracking using Mean-Shift Belief Propagation and Inverse Kinematics Constraints (Mean-Shift Belief Propagation과 역기구학 제약을 사용한 스테레오 기반의 휴먼 상체 추적)

  • Yoo, Min-Sun;Leea, Seong-Whan
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06b
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    • pp.227-230
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    • 2010
  • 비젼 기반의 휴먼 인체 추적 문제는 추정해야 할 파라미터의 수가 많고, 인체 구성 요소들 간의 가려짐등으로 인해 발생하는 포즈 간의 모호성 등으로 야기되는 어려움을 가지고 있다. 본 논문에서는 다양한 휴먼 상체 포즈에 따른 고차원 탐색 공간을 효율적으로 계산할 수 있는 Mean-Shift Belief Propagation (MSBP) 및 역기구학(Inverse Kinematics) 제약에 기반한 방법을 제안한다. 제안된 방법의 효율성을 증명하기 위해 실험을 기존에 제안된 방법들과의 비교 실험을 수행하였다.

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Restoration of Realtime Three-Dimension Positions Using PSD Sensor (PSD센서를 이용한 실시간 3차원 위치의 복원)

  • Choi, Hun-Il;Jo, Yong-Jun;Ryu, Young-Kee
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.507-510
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    • 2003
  • In this paper, optical sensor system using PSD(Position Sensitive Detection) is proposed to obtain the three dimensional position of moving markers attached to human body. To find the coordinates of an moving marrer with stereo vision system, two different sight rays of an moving marker are required. Usually, those are acquired with two optical sensors synchronized at the same time. PSD sensor is used to measure the position of an incidence light in real-time. To get the three-dimension position of light source on moving markers, a conventional camera calibration method are used. In this research, we realized a low cost motion capture system. The proposed system shows high three-dimension measurement accuracy and fast sampling frequency.

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SmartPendant: An Intelligent Device for Human Activity Recognition and Location Tracking (스마트 펜던트: 사람의 행동 인식과 위치 추적을 위한 지능형 디바이스)

  • Cho, Yong-Won;Nam, Yun-Young;Kim, Tae-Kyum;Kim, Jin-Hyoung;Cho, We-Duke
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10b
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    • pp.340-344
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    • 2007
  • 유비쿼터스 지능공간에서 사람의 행동과 위치를 모니터링하는 것은 서비스 제공을 위해 기본적이며 필수적인 단계이다. 본 논문에서는 스마트 펜던트(SmartPendant)의 카메라 영상과 GPS위치 정보를 이용한 새로운 웨어러블 컴퓨터를 제안한다. 우선, 행동 인식를 위해 영상간에 특정 픽셀 값 차와 옵티컬 플로우를 사용하였으며, 인식이 가능한 행동으로는 걷기, 멈춤, 방향전환이다. 또한, GPS를 이용한 사용자의 위치 정보는 위도와 경도에 대한 스트링값을 패킷값으로 변환하여 지능형 상황인지 서버에 전달된다.

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User's Gaze Analysis for Improving Map Label Readability in Way-finding Situation

  • Moon, Seonggook;Hwang, Chul Sue
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.5
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    • pp.343-350
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    • 2019
  • Map labels are the most recognizable map elements using the human visual system because they are essentially a natural language. In this study, an experiment was conducted using an eye-tracker to objectively record and analyze the response of subjects regarding visual attention to map labels. A primary building object was identified by analyzing visit counts, average visit duration, fixation counts, and the average fixation duration of a subject's gaze for an area of interest acquired using the eye-tracker. The unmarked rate of map labels in Google map, Naver map, and Daum map was calculated. As a result, this rate exceeded fifty-one percent, with the lowest rate recorded for Google map. It is expected that the results of this study will contribute to an increase in the diversity of research in terms of the spatial cognition approach for map labels, which is more helpful to users than the existing body of work on methods of expression for labels.

A review of missing video frame estimation techniques for their suitability analysis in NPP

  • Chaubey, Mrityunjay;Singh, Lalit Kumar;Gupta, Manjari
    • Nuclear Engineering and Technology
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    • v.54 no.4
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    • pp.1153-1160
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    • 2022
  • The application of video processing techniques are useful for the safety of nuclear power plants by tracking the people online on video to estimate the dose received by staff during work in nuclear plants. Nuclear reactors remotely visually controlled to evaluate the plant's condition using video processing techniques. Internal reactor components should be frequently inspected but in current scenario however involves human technicians, who review inspection videos and identify the costly, time-consuming and subjective cracks on metallic surfaces of underwater components. In case, if any frame of the inspection video degraded/corrupted/missed due to noise or any other factor, then it may cause serious safety issue. The problem of missing/degraded/corrupted video frame estimation is a challenging problem till date. In this paper a systematic literature review on video processing techniques is carried out, to perform their suitability analysis for NPP applications. The limitation of existing approaches are also identified along with a roadmap to overcome these limitations.

SURF based Hair Matching and VR Hair Cutting

  • Sung, Changjo;Park, Kyoungsoo;Chin, Seongah
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.49-55
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    • 2022
  • Hair styling has a significant influence on human social perception. An increasing number of people are learning hair styling and obtaining hair designer licenses. However, it takes a considerable amount of money and time to learn professional hairstyle and beauty techniques for hair styling. Since COVID-19, there has been a growing need for offline and video lectures due to the decline in onsite training opportunities. This study provides a field practice environment in which real hair beauty is performed in a virtual space. Further, the hairstyle that is most similar to the user's hair taken with a webcam or mobile phone is determined through an image matching system using the speeded up robust features (SURF) method. The matching hairstyle was created into a three-dimensional (3D) hair model. The created 3D hair model uses a head-mounted display (HMD) and a controller that enables finger tracking through mapping to reproduce the haircutting scissors' motion while providing a feeling of real hair beauty.

Realtime Facial Expression Representation Method For Virtual Online Meetings System

  • Zhu, Yinge;Yerkovich, Bruno Carvacho;Zhang, Xingjie;Park, Jong-il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.212-214
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    • 2021
  • In a society with Covid-19 as part of our daily lives, we had to adapt ourselves to a new reality to maintain our lifestyles as normal as possible. An example of this is teleworking and online classes. However, several issues appeared on the go as we started the new way of living. One of them is the doubt of knowing if real people are in front of the camera or if someone is paying attention during a lecture. Therefore, we encountered this issue by creating a 3D reconstruction tool to identify human faces and expressions actively. We use a web camera, a lightweight 3D face model, and use the 2D facial landmark to fit expression coefficients to drive the 3D model. With this Model, it is possible to represent our faces with an Avatar and fully control its bones with rotation and translation parameters. Therefore, in order to reconstruct facial expressions during online meetings, we proposed the above methods as our solution to solve the main issue.

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Estimation of a Gaze Point in 3D Coordinates using Human Head Pose (휴먼 헤드포즈 정보를 이용한 3차원 공간 내 응시점 추정)

  • Shin, Chae-Rim;Yun, Sang-Seok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.177-179
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    • 2021
  • This paper proposes a method of estimating location of a target point at which an interactive robot gazes in an indoor space. RGB images are extracted from low-cost web-cams, user head pose is obtained from the face detection (Openface) module, and geometric configurations are applied to estimate the user's gaze direction in the 3D space. The coordinates of the target point at which the user stares are finally measured through the correlation between the estimated gaze direction and the plane on the table plane.

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Implementation of Multi-device Remote Control System using Gaze Estimation Algorithm (시선 방향 추정 알고리즘을 이용한 다중 사물 제어 시스템의 구현)

  • Yu, Hyemi;Lee, Jooyoung;Jeon, Surim;Nah, JeongEun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.812-814
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    • 2022
  • 제어할 사물을 선택하기 위해 여러 단계를 거쳐야 하는 기존 '스마트 홈'의 단점을 보완하고자 본 논문에서는 사용자의 시선 방향을 추정하여 사용자가 바라보는 방향에 있는 사물을 제어할 수 있는 시스템을 제안한다. 일반 RGB 카메라를 통해 Pose Estimation으로 추출한 Landmark들의 좌표 값을 이용하여 시선 방향을 추정하는 알고리즘을 구현하였으며, 이는 근적외선 카메라와 Gaze Tracking 모델링을 통해 이루어지던 기존의 시선 추적 기술에 비해 가벼운 데이터를 산출하고 사용자와 센서간의 위치 제약이 적으며 별도의 장비를 필요로 하지 않는다. 해당 알고리즘으로 산출한 시선 추적의 정확도가 실제 주거환경에서 사용하기에 실효성이 있음을 실험을 통해 입증하였으며, 최종적으로 이 알고리즘을 적용하여 적외선 기기와 Google Home 제품에 사용할 수 있는 시선 방향 사물 제어 시스템을 구현하였다.