• Title/Summary/Keyword: Moving Accuracy

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A Recognition Method for Moving Objects Using Depth and Color Information (깊이와 색상 정보를 이용한 움직임 영역의 인식 방법)

  • Lee, Dong-Seok;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.19 no.4
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    • pp.681-688
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    • 2016
  • In the intelligent video surveillance, recognizing the moving objects is important issue. However, the conventional moving object recognition methods have some problems, that is, the influence of light, the distinguishing between similar colors, and so on. The recognition methods for the moving objects using depth information have been also studied, but these methods have limit of accuracy because the depth camera cannot measure the depth value accurately. In this paper, we propose a recognition method for the moving objects by using both the depth and the color information. The depth information is used for extracting areas of moving object and then the color information for correcting the extracted areas. Through tests with typical videos including moving objects, we confirmed that the proposed method could extract areas of moving objects more accurately than a method using only one of two information. The proposed method can be not only used in CCTV field, but also used in other fields of recognizing moving objects.

An Improvement for Location Accuracy Algorithm of Moving Indoor Objects (실내 이동 객체의 위치 정확도 개선을 위한 알고리즘)

  • Kim, Mi-Kyeong;Jeon, Hyeon-Sig;Yeom, Jin-Young;Park, Hyun-Ju
    • Journal of Internet Computing and Services
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    • v.11 no.2
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    • pp.61-72
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    • 2010
  • This paper addresses the problem of moving object localization using Ultra-Wide-Band(UWB) range measurement and the method of location accuracy improvement of the indoor moving object. Unlike outdoor environment, it is difficult to track moving object position due to various noises in indoor. UWB is a radio technology that has attention for localization applications recently. UWB's ranging technique offer the cm accuracy. Its capabilities for data transmission, range accurate estimation and material penetration are suitable technology for indoor positioning application. This paper propose a positioning algorithm of an moving object using UWB ranging technique and particle filter. Existing positioning algorithms eliminate estimation errors and bias after location estimation of mobile object. But in this paper, the proposed algorithm is that eliminate predictable UWB range distance error first and then estimate the moving object's position. This paper shows that the proposed positioning algorithm is more accurate than existing location algorithms through experiments. In this study, the position of moving object is estimated after the triangulation and eliminating the bias and the ranging error from estimation range between three fixed known anchors and a mobile object using UWB. Finally, a particle filter is used to improve on accuracy of mobile object positioning. The results of experiment show that the proposed localization scheme is more precise under the indoor.

The effects of moving accuracy on inteferometric 3D shape measurement (광 간섭계의 측정 정밀도와 구동 정밀도의 관계)

  • 박민철;엄창용;김승우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.110-113
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    • 2001
  • We present an interferometer system, which is able to perform both the phase shifting interferometry and white light interferometry. The interferometer system uses a d.c. motor to control the probe position with an accuracy of 10nm, which shows an outstanding performance on white light interferometry. However, the moving mechanism of d.c. motor is not accurate enough for the phase shifting interferometry that requires a moving precision less than 1 nm. We therefore propose a Fourier transform technique to calculate the phase of interferograms, which is strongly resistant to calibration errors and external vibration. Experimental results show that the Fourier transform technique is capable of reducing the measurement error caused by inaccurate movement within 0.1nm.

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Seismic Analysis of Statically Determinate Beams Using Moving Support Finite Elements (동지점 유한요소를 이용한 정정보의 지진해석)

  • Kim, Yong-Woo;Lee, Seoung Yeal;Jhung, Myung Jo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.194-199
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    • 2013
  • Using moving support finite elements, seismic analysis of statically-determinate beams subjected to support motions is performed to show its accuracy and its ease of use. Examples of cantilever and simply-supported beam subjected to support motions are illustrated and the numerical results are compared with the analytical solutions. The examples show the elements facilitate modeling beams with the conventional 2-noded, Hermitian, Euler-Bernoulli beam element. The comparisons of the results with analytical solutions show good agreements with high accuracy.

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Quantitative Analysis of Automotive Radar-based Perception Algorithm for Autonomous Driving (자율주행을 위한 레이더 기반 인지 알고리즘의 정량적 분석)

  • Lee, Hojoon;Chae, HeungSeok;Seo, Hotae;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.2
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    • pp.29-35
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    • 2018
  • This paper presents a quantitative evaluation method and result of moving vehicle perception using automotive radar. It is also important to analyze the accuracy of the perception algorithm quantitatively as well as to accurately percept nearby moving vehicles for safe and efficient autonomous driving. In this study, accuracy of the automotive radar-based perception algorithm which is developed based on interacting multiple model (IMM) has been verified via vehicle tests on real roads. In order to obtain experimental data for quantitative evaluation, Long Range Radar (LRR) has been mounted on the front of the ego vehicle and Short Range Radar (SRR) has been mounted on the rear side of both sides. RT-range has been installed on the ego vehicle and the target vehicle to simultaneously collect reference data on the states of the two vehicles. The experimental data is acquired in various relative positions and velocity, and the accuracy of the algorithm has been analyzed according to relative position and velocity. Quantitative analysis is conducted on relative position, relative heading angle, absolute velocity, and yaw rate of each vehicle.

A Precise Location Tracking System with Smart Context-Awareness Based-on Doppler Radar Sensors (스마트한 상황인지를 적용한 도플러 레이더 센서 기반의 정밀 위치추정 시스템)

  • Moon, Seung-Jin;Kim, Hong-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.12
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    • pp.1159-1166
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    • 2010
  • Today, detecting the location of moving object has been traced as various methods in our world. In this paper, we preset the system to improve the estimation accuracy utilizing detail localization using radar sensor based on WSN and situational awareness for a calibration (context aware) database, Rail concept. A variety of existing location tracking method has a problem with receiving of data and accuracy as tracking methodology, and since these located data are the only data to be collected for location tracing, the context aware or monitering as the surrounding environment is limited. So, in this paper, we enhanced the distance aware accuracy using radar sensor utilizing the Doppler effect among the distance measuring method, estimated the location using the Triangulation algorithm. Also, since we composed the environment data(temperature, illuminancem, humidity, noise) to entry of the database, it can be utilized in location-based service according to the later action information inference and positive context decision. In order to verify the validity of the suggested method, we give a few random situation and built test bed of designed node, and over the various test we proved the utilizing the context information through route tracking of moving and data processing.

Suggesting Forecasting Methods for Dietitians at University Foodservice Operations

  • Ryu Ki-Sang
    • Nutritional Sciences
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    • v.9 no.3
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    • pp.201-211
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    • 2006
  • The purpose of this study was to provide dietitians with the guidance in forecasting meal counts for a university/college foodservice facility. The forecasting methods to be analyzed were the following: naive model 1, 2, and 3; moving average, double moving average, simple exponential smoothing, double exponential smoothing, Holt's, and Winters' methods, and simple linear regression. The accuracy of the forecasting methods was measured using mean squared error and Theil's U-statistic. This study showed how to project meal counts using 10 forecasting methods for dietitians. The results of this study showed that WES was the most accurate forecasting method, followed by $na\ddot{i}ve$ 2 and naive 3 models. However, naive model 2 and 3 were recommended for using by dietitians in university/college dining facilities because of the accuracy and ease of use. In addition, the 2000 spring semester data were better than the 2000 fall semester data to forecast 2001spring semester data.

Optical Signal Processing of Laser Encoder Using Diffraction Grating (회절 격자를 이용한 레이저 엔코더의 광 신호처리)

  • 김수진;은재정;최평석
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.145-148
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    • 2000
  • Position-determining capacity is a very important condition in equipments for manufacturing semi-conductor or various instruments to measure physical displacement quantities of a moving object in submicron such as a distance of movement, direction, etc. and the accuracy of total system is influenced by detecting accuracy of these equipments. Therefore in this paper we have optically made up laser linear encoder based on optical diffraction principle to measure these displacement quantities and have processed optical signal using hardware-setup. In consequence we had acquired displacement for movement of scale using a diffraction grating by the accuracy of 0.5${\mu}{\textrm}{m}$ and had digitalized moving quantities of scale.

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The Convergence Effects of Visual Stimulus Velocity and Basketball Pass Types on Anticipation Timing Performance (시각적 자극 속도에 대한 농구패스 유형이 예측 타이밍 수행에 미치는 융합적 효과)

  • Hong, Seung-Bun
    • Journal of the Korea Convergence Society
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    • v.8 no.8
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    • pp.325-332
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    • 2017
  • This study was performed to investigate the effects of receiver's moving speed and pass types on anticipation timing response. Ten subjects were required to make a total of 24 passes in coincidence with an experimentally manipulated moving light signal in randomly three different conditions by performing chest and bound pass. Results of analyses revealed AE, CE, and VE increased as moving velocity became constant-acceleration condition. In addition, chest pass was more accuracy and consistency than bound pass on AE and CE. These findings indicated that moving velocity and pass type served as the major determination of coincident timing response on passing in basketball.

Detection of Moving Position of AGV Using Rotating LSB(Laser Slit Beam) (회전 레이져 슬릿 빔을 이용한 AGV 이동위치 검출)

  • Kim, Seon-Ho;Park, Gyeong-Taek;Park, Geon-Guk;An, Jung-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.12
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    • pp.137-144
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    • 2001
  • The major movement blocks of the container are the range between the apron and the designation points on yard in container terminals. The yard tractor drived by operator takes charge of it's movement in conventional container terminals. In automated container terminal, AGV(automatic guided vehicle) takes charge of a yard tractor's role and information of navigation path are ordered from upper control system. The automated container terminal facilities must have the docking system that guides landing zinc to execute high speed travelling and precision positioning. This paper describes the new docking method with the rotating LSB(laser slit beam) generator and two pair of photo receiver. The LSB generator is installed on the fixed ground and the photo receiver is implemented on the moving vehicle such as AGV. The proposed docking system is implemented to confirm it's function and accuracy. The accuracy of measured moving position is represented in ±5mm at 1 data sampling.

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