• Title/Summary/Keyword: Order Tracking

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A Fast and Efficient Sliding Window based URV Decomposition Algorithm for Template Tracking (템플릿 추적 문제를 위한 효율적인 슬라이딩 윈도우 기반 URV Decomposition 알고리즘)

  • Lee, Geunseop
    • Journal of Korea Multimedia Society
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    • v.22 no.1
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    • pp.35-43
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    • 2019
  • Template tracking refers to the procedure of finding the most similar image patch corresponding to the given template through an image sequence. In order to obtain more accurate trajectory of the template, the template requires to be updated to reflect various appearance changes as it traverses through an image sequence. To do that, appearance images are used to model appearance variations and these are obtained by the computation of the principal components of the augmented image matrix at every iteration. Unfortunately, it is prohibitively expensive to compute the principal components at every iteration. Thus in this paper, we suggest a new Sliding Window based truncated URV Decomposition (TURVD) algorithm which enables updating their structure by recycling their previous decomposition instead of decomposing the image matrix from the beginning. Specifically, we show an efficient algorithm for updating and downdating the TURVD simultaneously, followed by the rank-one update to the TURVD while tracking the decomposition error accurately and adjusting the truncation level adaptively. Experiments show that the proposed algorithm produces no-meaningful differences but much faster execution speed compared to the typical algorithms in template tracking applications, thereby maintaining a good approximation for the principal components.

Flow Velocity Change of David Glacier, East Antarctica, from 2016 to 2020 Observed by Sentinel-1A SAR Offset Tracking Method

  • Moon, Jihyun;Cho, Yuri;Lee, Hoonyol
    • Korean Journal of Remote Sensing
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    • v.37 no.1
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    • pp.1-11
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    • 2021
  • This study measures the change of ice flow velocity of David Glacier, one of the fast-moving glaciers in East Antarctica that drains through Drygalski Ice Tongue. In order to effectively observe the rapid flow velocity, we applied the offset tracking technique to Sentinel-1A SAR images obtained from 2016 to 2020 with 36-day temporal baseline. The resulting velocity maps were averaged and the two relatively fast points (A1 and A2) were selected for further time-series analysis. The flow velocity increased during the Antarctic summer (around December to March) over the four years' observation period probably due to the ice surface melting and reduced friction on the ice bottom. Bedmap2 showed that the fast flow velocities at A1 and A2 are associated with a sharp decrease in the ice surface and bottom elevation so that ice volumetric cross-section narrows down and the crevasses are being created on the ice surface. The local maxima in standard deviation of ice velocity, S1 and S2, showed random temporal fluctuation due to the rotational ice swirls causing error in offset tracking method. It is suggested that more robust offset tracking method is necessary to incorporate rotational motion.

Using CNN- VGG 16 to detect the tennis motion tracking by information entropy and unascertained measurement theory

  • Zhong, Yongfeng;Liang, Xiaojun
    • Advances in nano research
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    • v.12 no.2
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    • pp.223-239
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    • 2022
  • Object detection has always been to pursue objects with particular properties or representations and to predict details on objects including the positions, sizes and angle of rotation in the current picture. This was a very important subject of computer vision science. While vision-based object tracking strategies for the analysis of competitive videos have been developed, it is still difficult to accurately identify and position a speedy small ball. In this study, deep learning (DP) network was developed to face these obstacles in the study of tennis motion tracking from a complex perspective to understand the performance of athletes. This research has used CNN-VGG 16 to tracking the tennis ball from broadcasting videos while their images are distorted, thin and often invisible not only to identify the image of the ball from a single frame, but also to learn patterns from consecutive frames, then VGG 16 takes images with 640 to 360 sizes to locate the ball and obtain high accuracy in public videos. VGG 16 tests 99.6%, 96.63%, and 99.5%, respectively, of accuracy. In order to avoid overfitting, 9 additional videos and a subset of the previous dataset are partly labelled for the 10-fold cross-validation. The results show that CNN-VGG 16 outperforms the standard approach by a wide margin and provides excellent ball tracking performance.

How Did I Get My Order? Unveiling The Distribution Process of E-Retail in Indonesia

  • Indah FATMAWATI;Salsabila Shafa FAJRIANA
    • Journal of Distribution Science
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    • v.21 no.12
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    • pp.47-58
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    • 2023
  • Purpose: Post-purchase service in online platforms has created an exciting focus for consumer behavior studies. This study intends to ascertain the impact of post-purchase shipping dimensions (shipping service, tracking service, return service, and customer care) on customer satisfaction and behavior intention. The authors developed a new model considering behavioral intention as the endogenous variable integrated framework of previous studies. Research Design and Methodology: The total sample is 223 respondents, selected using purposive sampling. The data collection uses Google Forms and is analyzed using AMOS Structural Equation Modeling (SEM). Results: Our findings showed shipping, tracking, returns, and customer service positively impact customer satisfaction, and customer satisfaction mediates shipping, returns, and customer service on customer behavior intent. Furthermore, customer satisfaction does not affect the effect of tracking service on customer behavior intention. Conclusion: Our hypothesis of the relationship between the post-purchase dimension and customer satisfaction was supported. However, only two of our three mediating hypotheses are supported. The mediating effect of customer satisfaction on the post-purchase dimension on behavioral intention is insignificant, while their direct relationship was significant. It showed that, concerning tracking service, customer satisfaction is not a requirement for the customer to perform behavioral intention in an e-retail context.

A Fast-Transient Repetitive Control Strategy for Programmable Harmonic Current Source

  • Lei, Wanjun;Nie, Cheng;Chen, Mingfeng;Wang, Huajia;Wang, Yue
    • Journal of Power Electronics
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    • v.17 no.1
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    • pp.172-180
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    • 2017
  • The repetitive control (RC) strategy is widely used in AC power systems because of its high performance in tracking period signal and suppressing steady-state error. However, the dynamic response of RC is determined by the fundamental period delay $T_0$ existing in the internal model. In the current study, a ($nk{\pm}i$)-order harmonic RC structure is proposed to improve dynamic performance. The proposed structure has less data memory and can improve the tracking speed by n/2 times. $T_0$ proves the effectiveness of the ($nk{\pm}i$)-order RC strategy. The simulation and experiments of ($6k{\pm}1$)-order and ($4k{\pm}1$)-order RC strategy used in the voltage source inverter is conducted in this study to control the harmonic current source, which shows the validity and advantages of the proposed structure.

Traffic Sign Recognition, and Tracking Using RANSAC-Based Motion Estimation for Autonomous Vehicles (자율주행 차량을 위한 교통표지판 인식 및 RANSAC 기반의 모션예측을 통한 추적)

  • Kim, Seong-Uk;Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.2
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    • pp.110-116
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    • 2016
  • Autonomous vehicles must obey the traffic laws in order to drive actual roads. Traffic signs erected at the side of roads explain the road traffic information or regulations. Therefore, traffic sign recognition is necessary for the autonomous vehicles. In this paper, color characteristics are first considered to detect traffic sign candidates. Subsequently, we establish HOG (Histogram of Oriented Gradients) features from the detected candidate and recognize the traffic sign through a SVM (Support Vector Machine). However, owing to various circumstances, such as changes in weather and lighting, it is difficult to recognize the traffic signs robustly using only SVM. In order to solve this problem, we propose a tracking algorithm with RANSAC-based motion estimation. Using two-point motion estimation, inlier feature points within the traffic sign are selected and then the optimal motion is calculated with the inliers through a bundle adjustment. This approach greatly enhances the traffic sign recognition performance.

Design and Prototype Implementation of the Curved Plates Flow Tracking and Monitoring System using RFID (RFID 기술을 이용한 곡가공 부재 추적 및 모니터링 시스템 설계 및 프로토타입의 구현)

  • Noh, Jac-Kyou;Shin, Jong-Gye
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.6
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    • pp.424-433
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    • 2009
  • In order to improve productivity and efficiency of ship production process, production technology converged with Information Technology can be considered. Mid-term scheduling based on long-term schedule of ship building and execution planning based on short-term production schedule have an important role in ship production processes and techniques. However, data used in the scheduling are from the experiences of the past, cognitive, and often inaccurate, moreover the updates of the data by formatted documents are not being performed efficiently. This paper designs the tracking and monitoring system for the curved plates forming process with shop level. At first step to it, we redefine and analyze the curved plates forming process by using SysML. From the definition and analysis of the curved plates forming process, we design the system with respect to operational view considering operational environment and interactions between systems included and scenario about operation, and with respect to system view considering functionalities and interfaces of the system. In order to study the feasibility of the system designed, a prototype of the system has been implemented with 13.56 MHz RHD hardware and application software.

Study on Multi-Mode Monopulse Signal Processing System Providing Optimal Time Delay under High Doppler Condition (고속 도플러 편이 환경에서 최적 시간지연을 갖는 다중모드 모노펄스 신호처리에 관한 연구)

  • Lee, Jaemoon;Lim, Jaesung;Ahn, Huisoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.5
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    • pp.582-589
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    • 2016
  • Multi-mode monopulse system is widely used for satellite terminal like UAV because of high tracking accuracy and low size/weight profile. In order to calculate tracking error, Multi-mode monopulse system utilizes high-order mode signal, and it should have enough C/N(carrier to noise) level therefore tracking system needs narrow band filtering of received satellite beacon signal as much as possible. However, UAV suffers for beacon frequency drift derived from Doppler effect due to satellite figure 8 movement and UAV maneuvering. Therefore wideband signal processing needs to be considered in advance for exact doppler compensation and consequent time delay. In this paper, we propose the multi-stage Digital Signal processing system for beacon signal, which could minimize the signal delay under high Doppler and low C/N condition.

Development of The Moving Target Tracking Robot in Outdoor Environment (실외환경에서의 이동 목표 추종용 로봇의 개발)

  • 안철기;이민철
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.11
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    • pp.954-962
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    • 2002
  • In a park or street, we can see many people jogging or walking with their dogs tracking their masters. In this study, an entertainment robot that imitates a dog's behavior is created. The robot's task is tracking a moving target that is recognized as the master. In order to design the robot, the ecological approach. in which the robot's goals and surroundings heavily influence its design, is used. A three-wheel type locomotion system is designed as the robot's physical structure which can follow a human jogging in outdoor space like a park. A sensor system which can detect the position of a master for the robot in the outdoor space, is developed. This sensor system consists of a signal transmitter which is at the hand of a master and some sensors which are mounted on the robot. The transmitter emits RF(radio frequency) and ultrasonic signals and the sensors detect the direction and distance from the robot to the transmitter by using the received signals. For the control architecture of the robot, a purely reactive behavior-based method is used in order to increase speed of response. The developed robot is evaluated through experiments conducted in indoor and outdoor environments.

A Study on Resonance Tracking Method of Ultrasonic Welding Machine Inverter (초음파 용접기 인버터의 공진 추종 방법에 관한 연구)

  • Moon, Jeong-Hoon;Park, Sung-Jun;Lim, Sang-Kil;Kim, Dong-Ok
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.4_2
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    • pp.481-490
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    • 2021
  • In the ultrasonic welding machine, when the load fluctuates, the L and C of the piezo element in the oscillation part change. As a result, the resonant frequency is changed, so it is necessary to match the operating frequency of the ultrasonic welding machine to the new resonant frequency. That is, in order to maximize the output of the oscillation unit of the ultrasonic welding machine, it is inevitable to follow the resonance frequency. Accordingly, many methods for following the resonant frequency are being actively studied. In addition, in order to check the effect of external inductance on the operation of the ultrasonic welding machine, The equivalent circuit of the piezo element was analyzed by including the external inductance for resonance in the equivalent circuit of the piezo element, and the method of selecting an appropriate inductance was described. In this paper, we propose a new system that allows the switching frequency of the inverter to tracking the resonance frequency even if the resonance frequency is changed due to the load of the ultrasonic welding machine.