• Title/Summary/Keyword: Position Identification

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Depth Image Based Feature Detection Method Using Hybrid Filter (융합형 필터를 이용한 깊이 영상 기반 특징점 검출 기법)

  • Jeon, Yong-Tae;Lee, Hyun;Choi, Jae-Sung
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.6
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    • pp.395-403
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    • 2017
  • Image processing for object detection and identification has been studied for supply chain management application with various approaches. Among them, feature pointed detection algorithm is used to track an object or to recognize a position in automated supply chain systems and a depth image based feature point detection is recently highlighted in the application. The result of feature point detection is easily influenced by image noise. Also, the depth image has noise itself and it also affects to the accuracy of the detection results. In order to solve these problems, we propose a novel hybrid filtering mechanism for depth image based feature point detection, it shows better performance compared with conventional hybrid filtering mechanism.

IMAGE PROCESSING TECHNIQUES FOR LANE-RELATED INFORMATION EXTRACTION AND MULTI-VEHICLE DETECTION IN INTELLIGENT HIGHWAY VEHICLES

  • Wu, Y.J.;Lian, F.L.;Huang, C.P.;Chang, T.H.
    • International Journal of Automotive Technology
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    • v.8 no.4
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    • pp.513-520
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    • 2007
  • In this paper, we propose an approach to identify the driving environment for intelligent highway vehicles by means of image processing and computer vision techniques. The proposed approach mainly consists of two consecutive computational steps. The first step is the lane marking detection, which is used to identify the location of the host vehicle and road geometry. In this step, related standard image processing techniques are adapted for lane-related information. In the second step, by using the output from the first step, a four-stage algorithm for vehicle detection is proposed to provide information on the relative position and speed between the host vehicle and each preceding vehicle. The proposed approach has been validated in several real-world scenarios. Herein, experimental results indicate low false alarm and low false dismissal and have demonstrated the robustness of the proposed detection approach.

Key for the Identification of the Ichthyoplankton in the Mid-East Coastal Waters of the Yellow Sea (黃海 中東部 沿岸域의 浮游性 卵 仔稚魚의 檢索表 作成 硏究)

  • 차성직;유재명
    • 한국해양학회지
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    • v.22 no.4
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    • pp.236-245
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    • 1987
  • Ichthyoplankton were sampled with Bongo net at 13 stations from Chonsu Bay to Keum Estuary from July, 1985 to June, 1986. 19 taxa of pelagic eggs and 45 taxa of larvae were collected. The key to identify the pelagic eggs is based on the number of oil gloubles, the shape of the egg, the sculpture of the chorion, and the size of the egg and the oil globules. The key to the families of fish larvae is based on the morphometric characters such as the body shape, the position of the anus, the pigmentation pattern, and others.

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A study on Identification of EMG Patterns and Analysis of Dynamic Characteristics of Human Arm Movements (팔 운동 근전신호의 식별과 동특성 해석에 관한 연구)

  • Son, Jae-Hyun;Hong, Sung-Woo;Lee, Kwang-Suk;Nam, Moon-Hyun
    • Proceedings of the KIEE Conference
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    • 1991.07a
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    • pp.799-804
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    • 1991
  • This paper is concerned with the artificial control of prosthetic devices using the electromyographic(EMG) activities of biceps and triceps in human subject during isometric contraction adjustments at the elbow. And it was analysised about recognition of EMG signals and dynamic characteristics at arm movements of human. For this study the error signal of autoregressive(AR) model were used to discriminate arm movement patterns of human. Interaction of dynamic characteristics (Position, Velocity, Acceleration) and EMG of biceps and triceps at arm movements of human was measured.

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Fault Detection and Identification of Uninhabited Aerial Vehicle using Similarity Measure (유사측도를 이용한 무인기의 고장진단 및 검출)

  • Park, Wook-Je;Lee, Sang-Hyuk
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.2
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    • pp.16-22
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    • 2011
  • It is recognized that the control surface fault is detected by monitoring the value of the coefficients due to the control surface deviation. It is found out the control surface stuck position by comparing the trim value with the reference value. To detect and isolate the fault, two mixed methods apply to the real-time parameter estimation and similarity measure. If the scatter of aerodynamic coefficients for the fault and normal are closing nearly, fault decision is difficult. Applying similarity measure to decide for fault or not, it makes a clear and easy distinction between fault and normal. Low power processor is applied to the real-time parameter estimator and computation of similarity measure.

Authentication Protocol for RFID using Bivariate Polynomials over a Finite Field (유한체 위의 이변수다항식을 이용한 RFID 인증 프로토콜)

  • Jung, Seok Won
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.3
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    • pp.137-141
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    • 2014
  • RFID system is applied to various industry such as process control, distribution management, access control, environment sensing, entity identification, etc. Since RFID system uses wireless communication, it has more weak points for security. In this paper, an authentication protocol is suggested between tags and a reader, which is basic property for security. A suggested protocol use a bivariate polynomial over a finite field and is secure against snooping, replay attack, position tracking and traffic analysis.

First Record of Eucephalobus oxyuroides (Nematoda: Rhabditida: Cephalobidae) from South Korea

  • Kim, Taeho;Bae, Yeon Jae;Park, Joong-Ki
    • Animal Systematics, Evolution and Diversity
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    • v.33 no.4
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    • pp.256-261
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    • 2017
  • Eucephalobus oxyuroides (de Man, 1876) Steiner, 1936 belonging to the family Cephalobidae Filpijev, 1934 (Cephalobomorpha) is newly reported from South Korea. This species is distinguished from other Eucephalobus species by its pointed tail terminus, high lips and relatively longer female tail and body. From many previous studies, intraspecific variation in this species has been reported for body length, absence/presence of probolae, and number/position of papillae in the posterior region of male, posing an obstacle for identification and phylogenetic analysis. In this study, details of the morphological characters and morphometric of E. oxyuroides Korean population are described and illustrated based on optical microscopy.

Postharvest Biological Control of Colletotrichum acutatum on Apple by Bacillus subtilis HM1 and the Structural Identification of Antagonists

  • Kim, Hae-Min;Lee, Kui-Jae;Chae, Jong-Chan
    • Journal of Microbiology and Biotechnology
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    • v.25 no.11
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    • pp.1954-1959
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    • 2015
  • Bacillus subtilis HM1 was isolated from the rhizosphere region of halophytes for its antifungal activity against Colletotrichum acutatum, the causative agent of anthracnose. Treatment of postharvest apples with the cell culture or with a cell-free culture supernatant reduced disease severity 80.7% and 69.4%, respectively. Both treatments also exhibited antifungal activity against various phytopathogenic fungi in vitro. The antifungal substances were purified and analyzed by acid precipitation, gel filtration, high-performance liquid chromatography, and matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Three compounds were identified as fengycin, iturin, and surfactin. The MALDI-TOF/TOF mass spectrum revealed the presence of cyclized fengycin homologs A and B, which were distinguishable on the basis of the presence of either alanine or valine, respectively, at position 6 of the peptide sequence. In addition, the cyclized structure of fengycin was shown to play a critical role in antifungal activity.

TDOA-Based Localization Algorithms for RFID Systems Using Benchmark Tags (벤치마크 태그를 이용한 도착시간 차 기반의 RFID 측위 알고리즘)

  • Joo, Un Gi
    • Korean Management Science Review
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    • v.29 no.3
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    • pp.1-11
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    • 2012
  • This paper considers a localization problem in time difference of arrival (TDOA)-based radio frequency identification (RFID) systems. To estimate the position of a target tag, this paper suggests three localization algorithms that use benchmark tags. The benchmark tags are the same type as the target tag, but either the locations or distance of the benchmark tags are known. Two algorithms use the benchmarks for auxiliary information to improve the estimation accuracy of the other localization algorithms such as least squared estimator (LSE). The other one utilizes the benchmarks as essential tags to estimate the location. Numerical tests show that the localization accuracy can be improved by using benchmark tags especially when an algorithm using the LSE is applied to the localization problem. Furthermore, this paper shows that our benchmark algorithm is valuable when the measurement noise is large.