• Title/Summary/Keyword: Vision Technique

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Development of a Ubiquitous Vision System for Location-awareness of Multiple Targets by a Matching Technique for the Identity of a Target;a New Approach

  • Kim, Chi-Ho;You, Bum-Jae;Kim, Hag-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.68-73
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    • 2005
  • Various techniques have been proposed for detection and tracking of targets in order to develop a real-world computer vision system, e.g., visual surveillance systems, intelligent transport systems (ITSs), and so forth. Especially, the idea of distributed vision system is required to realize these techniques in a wide-spread area. In this paper, we develop a ubiquitous vision system for location-awareness of multiple targets. Here, each vision sensor that the system is composed of can perform exact segmentation for a target by color and motion information, and visual tracking for multiple targets in real-time. We construct the ubiquitous vision system as the multiagent system by regarding each vision sensor as the agent (the vision agent). Therefore, we solve matching problem for the identity of a target as handover by protocol-based approach. We propose the identified contract net (ICN) protocol for the approach. The ICN protocol not only is independent of the number of vision agents but also doesn't need calibration between vision agents. Therefore, the ICN protocol raises speed, scalability, and modularity of the system. We adapt the ICN protocol in our ubiquitous vision system that we construct in order to make an experiment. Our ubiquitous vision system shows us reliable results and the ICN protocol is successfully operated through several experiments.

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Extraordinary State Classification of Grinding Wheel Surface Based on Gray-level Run Lengths (명암도 작용 길이에 따른 연삭 숫돌면의 이상 현상 분류)

  • 유은이;김광래
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.13 no.3
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    • pp.24-29
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    • 2004
  • The grinding process plays a key role which decides the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by watching. In this study, we choose the method which can be observed directly by using of computer vision and then apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complicated surface image. We observe the change of the wheel surface by using of the gray level run lengths which are representative in this technique.

Luminance Change Independent 3D Snail Tracking

  • Dewi, Primastuti;Choi, Yoen-Seok;Chon, Tae-Soo;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.175-178
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    • 2010
  • Slow movement of snail can be a benefit since it means less speed of tracking is required to get accurate movement track, but in the other side it is difficult to extract the object because the snail is almost as static as the background. In this paper, we present a technique to track the snail by using one of its common characteristic, dark color of its shell. The technique needs to be robust to illumination change since the experiment is usually to observe the movement of snail both at bright and dim condition. Snail position coordinate in 3D space is calculated using orthogonal stereo vision which combines the information from two images taken from cameras at the top and in front of the aquarium. Experimental results show this technique does not need prior background image extraction and robust to gradual or sudden illumination change.

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Extraordinary State Discrimination of Grinding Wheel Surface Using Pattern Classification (패턴 분류법을 이용한 연삭 숫돌면의 이상상태 판별)

  • 유은이
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.447-452
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    • 2000
  • The grinding plays a key role which decide the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by visualizing. In this study, we choose the direct method of observation by making use of computer vision, and apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complex surface image. We observe the change of the wheel surface by making use of the gray level run lengths which are representative prince in this technique.

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Vision-sensor-based Drivable Area Detection Technique for Environments with Changes in Road Elevation and Vegetation (도로의 높낮이 변화와 초목이 존재하는 환경에서의 비전 센서 기반)

  • Lee, Sangjae;Hyun, Jongkil;Kwon, Yeon Soo;Shim, Jae Hoon;Moon, Byungin
    • Journal of Sensor Science and Technology
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    • v.28 no.2
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    • pp.94-100
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    • 2019
  • Drivable area detection is a major task in advanced driver assistance systems. For drivable area detection, several studies have proposed vision-sensor-based approaches. However, conventional drivable area detection methods that use vision sensors are not suitable for environments with changes in road elevation. In addition, if the boundary between the road and vegetation is not clear, judging a vegetation area as a drivable area becomes a problem. Therefore, this study proposes an accurate method of detecting drivable areas in environments in which road elevations change and vegetation exists. Experimental results show that when compared to the conventional method, the proposed method improves the average accuracy and recall of drivable area detection on the KITTI vision benchmark suite by 3.42%p and 8.37%p, respectively. In addition, when the proposed vegetation area removal method is applied, the average accuracy and recall are further improved by 6.43%p and 9.68%p, respectively.

Hybrid Real-time Monitoring System Using2D Vision and 3D Action Recognition (2D 비전과 3D 동작인식을 결합한 하이브리드 실시간 모니터링 시스템)

  • Lim, Jong Heon;Sung, Man Kyu;Lee, Joon Jae
    • Journal of Korea Multimedia Society
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    • v.18 no.5
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    • pp.583-598
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    • 2015
  • We need many assembly lines to produce industrial product such as automobiles that require a lot of composited parts. Big portion of such assembly line are still operated by manual works of human. Such manual works sometimes cause critical error that may produce artifacts. Also, once the assembly is completed, it is really hard to verify whether of not the product has some error. In this paper, for monitoring behaviors of manual human work in an assembly line automatically, we proposes a realtime hybrid monitoring system that combines 2D vision sensor tracking technique with 3D motion recognition sensors.

Inspection for Large 2D machining product using robot vision (로봇비젼을 이용한 대형 2차원 가공물의 검사)

  • 정병묵;이성건;조지승
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.177-180
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    • 2002
  • Generally, it is very difficult to inspect geometric shape of large 2D objects after machining. To maintain the accuracy for inspection, a robot vision is used to divide overall shape into several enlarged images, and image processing technique is applied to acquire one minute geometric contour. The inspection is to compare the NC data with the measured contour data by the vision system, and the algorithm is to rotate to minimize the maximum deviation coinciding two geometric centers. This paper experimentally shows that the proposed inspection algorithm is very useful fur a large machined object.

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Vision Inspection for Large 2D Machining Product using Tolerance Zone (공차영역을 이용한 대형 2차원 가공물의 형상 검사)

  • 이성건;정병묵;조지승
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.112-119
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    • 2002
  • Generally, it is very difficult to inspect geometric shape of large 2D objects after machining. To maintain the accuracy for inspection, a robot vision is used to divide overall shape into several enlarged images, and image processing technique is applied to acquire one minute geometric contour. The inspection is to compare the NC data with the measured contour data by the vision system, and the algorithm is to rotate to minimize the maximum deviation after coinciding two geometric centers. This paper experimentally shows that the proposed algorithm is very useful for inspection of large machined objects.

Hardware Digital Color Enhancement for Color Vision Deficiencies

  • Chen, Yu-Chieh;Liao, Tai-Shan
    • ETRI Journal
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    • v.33 no.1
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    • pp.71-77
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    • 2011
  • Up to 10% of the global population suffers from color vision deficiency (CVD) [1], especially deuteranomaly and protanomaly, the conditions in which it is difficult to discriminate between red and green hues. For those who suffer from CVD, their career fields are restricted, and their childhood education is frustrating. There are many optical eye glasses on the market to compensate for this disability. However, although they are attractive due to their light weight, wearing these glasses will decrease visual brightness and cause problems at night. Therefore, this paper presents a supplementary device that comprises a head-mounted display and an image sensor. With the aid of the image processing technique of digital color space adjustment implemented in a high-speed field-programmable gate array device, the users can enjoy enhanced vision through the display without any decrease in brightness.