• Title/Summary/Keyword: 카메라 트랙킹

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Development of Hand-Tracking Interaction System (핸드 트랙킹 인터랙션 시스템 개발)

  • Park, Seong-Su;Gue, Ja-Young;Hong, Jin-Ju;Rho, Young J.;Seo, Dae-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.824-826
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    • 2010
  • 컴퓨터의 활용도가 높아지면서 자연스럽게 컴퓨터에 따른 입력 장치도 사용이 잦아지고 있는 추세이다. 본 논문에서 다루고 있는 핸드 트랙킹 인터랙션 시스템(Hand-Tracking Interaction System)이란 캠에 사람의 손을 인식시켜 손의 모션에 기능을 부여하는 또 다른 차세대 입력 장치이다. 본 논문에서는 현재 사용하고 있는 마우스와 키보드 같은 입력 장치의 공간 제약성 이라는 단점을 보완하기 위해 핸드 트랙킹 인터랙션 시스템 (Hand-Tracking Interaction System) 을 개발하였고, 빛과 그림자의 영향을 쉽게 받아 손 인식률이 낮아지는 단점을 해결하기 위해 캠 대신 적외선카메라를 이용하여 인식률을 높임에 힘썼다. 또 핸드 트랙킹 인터랙션 시스템을 효율적으로 사용할 수 있는 새로운 어플리케이션을 함께 개발하였다.

Real-time People Occupancy Detection by Camera Vision Sensor (카메라 비전 센서를 활용하는 실시간 사람 점유 검출)

  • Gil, Jong In;Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.774-784
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    • 2017
  • Occupancy sensors installed in buildings and households turn off the light if the space is vacant. Currently PIR (pyroelectric infra-red) motion sensors have been utilized. Recently, the researches using camera sensors have been carried out in order to overcome the demerit of PIR that can not detect static people. If the tradeoff of cost and performance is satisfied, the camera sensors are expected to replace the current PIRs. In this paper, we propose vision sensor-based occupancy detection being composed of tracking, recognition and detection. Our softeware is designed to meet the real-time processing. In experiments, 14.5fps is achieved at 15fps USB input. Also, the detection accuracy reached 82.0%.

CNN-based People Recognition for Vision Occupancy Sensors (비전 점유센서를 위한 합성곱 신경망 기반 사람 인식)

  • Lee, Seung Soo;Choi, Changyeol;Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.23 no.2
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    • pp.274-282
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    • 2018
  • Most occupancy sensors installed in buildings, households and so forth are pyroelectric infra-red (PIR) sensors. One of disadvantages is that PIR sensor can not detect the stationary person due to its functionality of detecting the variation of thermal temperature. In order to overcome this problem, the utilization of camera vision sensors has gained interests, where object tracking is used for detecting the stationary persons. However, the object tracking has an inherent problem such as tracking drift. Therefore, the recognition of humans in static trackers is an important task. In this paper, we propose a CNN-based human recognition to determine whether a static tracker contains humans. Experimental results validated that human and non-humans are classified with accuracy of about 88% and that the proposed method can be incorporated into practical vision occupancy sensors.

Fundamental Education on Film Style I : Focusing on Basic Viewing Education Utilizing Sound and Camera (영화의 양식에 관한 교육 사례 I : 사운드와 카메라를 활용한 감상 및 실습교육을 중심으로)

  • Kim, Gye-Joong
    • The Journal of the Korea Contents Association
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    • v.11 no.2
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    • pp.195-203
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    • 2011
  • This case study is based on a fundamental class actually done in the film and video department in Sungkyul University. It aimed at suggesting supportive role for typical film production class in universities in Korea. The list of film styles mentioned in this text is selected from the actual ones for the class and it is focused on utilization of sound and camera. It is ultimately designed to guide students to actual making films. First of all, for example, with a humble camcoder, students are encouraged to record both image and his/her narration which is directly recorded into the built-in microphone. Also directional microphone could be used to experience various positions of 'point-of-hearing'. Regarding camera movements, only distinctive ones out of typical utilization are selected to be dealt with. The movements created by moving vehicle such as dolly or crane beyond the limit of human ability could bring up high imagination of students on movement, besides this could be also easily applied to them for using hand-held technique instead of vehicle. This attitude acquired through the course is important for gettig over the resistance they might have before actual experiencing machinary use in production.

A Study on Correcting Virtual Camera Tracking Data for Digital Compositing (디지털영상 합성을 위한 가상카메라의 트래킹 데이터 보정에 관한 연구)

  • Lee, Junsang;Lee, Imgeun
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.39-46
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    • 2012
  • The development of the computer widens the expressive ways for the nature objects and the scenes. The cutting edge computer graphics technologies effectively create any images we can imagine. Although the computer graphics plays an important role in filming and video production, the status of the domestic contents production industry is not favorable for producing and research all at the same time. In digital composition, the match moving stage, which composites the captured real sequence with computer graphics image, goes through many complicating processes. The camera tracking process is the most important issue in this stage. This comprises the estimation of the 3D trajectory and the optical parameter of the real camera. Because the estimating process is based only on the captured sequence, there are many errors which make the process more difficult. In this paper we propose the method for correcting the tracking data. The proposed method can alleviate the unwanted camera shaking and object bouncing effect in the composited scene.

Human action recognition using HOOF and Random Forest (HOOF와 Random Forest를 이용한 휴먼 행동 인식)

  • Hong, June-Hyoek;Ko, Byoung-Chul;Nam, Jae-Yeal
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.450-452
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    • 2012
  • 본 논문에서는 CCD 카메라에 입력된 동영상에서 Random Forest를 이용하여 휴먼 행동을 인식하는 알고리즘을 제안한다. 행동 인식을 위한 특징 벡터 추출을 위해 가장 최근의 N개의 비디오 프레임들을 하나의 액션 볼륨으로 생성하고, 액션 볼륨 내에서 객체 트랙킹 된 영역을 서브 볼륨으로 생성한다. 이후 서브불륨을 $N{\times}N$개의 블록으로 나누고 각 블록에서 HOOF (Histogram of oriented optical flow)를 특징 벡터로 추출한다. 각 휴먼의 행동인식을 위해 사용된 Random Forest 분류기는 걷기, 뛰기, 발차기, 주먹질, 앉기, 쓰러지기, 넘어지기 7개의 행동을 나타내는 클래스로 분류하도록 학습되었으며 Random Forest에 의한 분류결과에 따라 어떤 행동을 취하는지 최종 판단한다.

Hardware Implementation of an Image Tracking System Using CCD Camera (CCD 카메라를 이용한 이미지 트랙킹 시스템의 하드웨어 구현)

  • Yun, Ji-Nyeong;Lee, Ja-Sung;Koh, Young-Gil
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.353-355
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    • 1994
  • This work describes a hardware implementation of a precision image tracking system which employs a CCD camera mounted on pan/tilt device. Unknown translation between two successive images of a moving object is estimated by using a generalized least-squares method. Estimated position error obtained by the tracking algorithm is used to drive DC motors built in the pan/tilt device for the camera to follow the image. An experimental result shows a sub-resolution tracking error for a image moving with a uniform velocity.

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A Study on the Development of an Distributed Tabletop System Game Using EBITA Framework (EBITA 프레임워크를 활용한 분산 테이블탑 시스템용 게임 개발에 관한 연구)

  • Kim, Min-Young;Cho, Yong-Joo
    • Journal of Korea Game Society
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    • v.9 no.3
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    • pp.129-138
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    • 2009
  • In this research, a new tabletop system is developed to provide a high resolution display by using multiple displays and computers connected through networks, based on a master/slave architecture. This distributed tabletop system is built to be scalable by just adding slave computers and monitors without modifying any software. Moreover, a EBITA (Environment for Building Interactive Tangible Applications) framework is developed to support constructing interactive games running on this scalable tabletop platforms. EBITA framework consists of the tangible interface module based on the infrared camera tracking system, and the modules that allow easy development of the graphical programs on a distributed environment. This paper describes the tangible interface based on the camera tracking system and EBITA framework. It also introduces a game built with the EBITA framework.

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