• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.49-57
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• 2016

In this paper, we propose the novel tracking method which uses the weighted discriminative correlation filter (DCF). We also propose the PSPR instead of conventional PSR as tracker performance evaluation method. The proposed tracking method uses multiple DCF to estimates the target position. In addition, our proposed method reflects more weights on the correlation response of the tracker which is expected to have more performance using PSPR. While existing multi-DCF-based tracker calculates the final correlation response by directly summing correlation responses from each tracker, the proposed method acquires the final correlation response by weighted combining of correlation responses from the selected trackers robust to given environment. Accordingly, the proposed method can provide high performance tracking in various and complex background compared to multi-DCF based tracker. Through a series of tracking experiments for various video data, the presented method showed better performance than a single feature-based tracker and also than a multi-DCF based tracker.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.165-168
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• 2004

This paper propose a target tracker using phase correlation. The tracker consist of a pre-processing module, a translation estimation module based on phase correlation, a fine motion estimation module applied when confidence rate could not fulfill a threshold value and a reference image update module. The fine motion estimation module measure the shift, rotation and scale of input image compared to reference using Fourier-Mellin transform. Proposed tracker was tested its accuracy and robustness using some real indoor and outdoor image sequences.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.485-488
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• 2003

A conventional correlation target tracker is analysed with a simple mathematical approach. And, we will propose a correlation measure with selective attentional property in order to overcome the false-peak problem of the conventional methods. Various experimental results show that the proposed correlation measure is able to reduce considerably the probability of false-peaks degraded by the correlation between background images of a reference block and a distorted and noisy sensor input image.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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• pp.468-473
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• 1998

An intelligent multimode target tracking algorithm using fuzzy logic is presented. Multimode tracking represents a synergistic approach that utilizes a variety of tracking techniques(centroid, correlation, etc.) to overcome the limitations inherent in any single-mode tracker. The design challenge for this type of multimode tracker is the data fusion algorithm. designs for this algorithm are based on heuristic rather than analytical approaches. A correlation-tracking algorithm seeks to align the incoming target image with a reference in age of the target, but has a critical problem, so called drift phenomenon. In this paper we will suggest a robust correlation tracker with gradient preprocessor combined by centroid algorithm to overcome the drift problem.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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• pp.335-337
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• 1994

The correlation tracker developed by John M. Fitts in 1979 is the most complex to mechanize but provides the best tracking performance in a low SNR condition. Correlation tracker would rewove the requirements for optimizing threshold and has no need to know information about the target. But if the displacement of the target is large, the tracking error of the correlation tracker tends to diverge. In this paper, we suggest a precision image tracking algorithm which improves the tracking performance via iterative application of the matched filter estimation algorithm.

• 한국통신학회논문지
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• 제31권9C호
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• pp.905-913
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• 2006

펄스 방식(Impulse radio)의 초광대역(Ultra-Wideband) 시스템의 타이밍 동기과정에서 획득/추적 과정이 이상적으로 수행되더라도 잔여 타이밍 오차는 존재하게 된다. 이러한 잔여 타이밍 오차는 시스템의 성능에 큰 영향을 미치게 된다. 본 논문에서는 상관 검출 수신기에서 미세 타이밍 오차를 보상하기 위해 보조신호(Reference signal)를 이용한 디지털 위상고정 루프(Digital Phase-Locked Loop)를 제시한다. 우선, 미세 타이밍 오차에 의한 비트에러률(Bit Error Rate:BER)의 성능 열화를 고찰한 후, 타이밍 추적기를 사용함으로써 타이밍 오차가 보상되는 과정과 보상 후 BER 성능을 제시한다. 그리고 타이밍 검출기는 보조신호와 수신신호간의 상관을 이용하는 방식이 제안되었으며 샘플링 주기는 프레임 단위로 이루어지도록 설계되었다. 또한, 본 논문은 성능비교를 위해 여러 종류의 가우시안 모노사이클 펄스에 대해 성능 평가를 수행한다.

• 융합정보논문지
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• 제10권11호
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• pp.148-155
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• 2020

본 연구는 한국어판 피츠버그 수면의 질 지수(PSQI-K) 도구의 신뢰도와 타당도를 검증하고 수면장애군의 최적 절단점을 탐색하기 위한 목적으로 수행되었다. 초기 성인 64명을 대상으로 PSQI-K와 Fitbit charge 3^TM을 이용하여 주관적 수면의 질과 수면양상을 측정하였다. 도구의 신뢰도는 Cronbach's alpha coefficient 계수로, 도구의 타당도는 요인분석 및 PSQI-K 점수와 Fitbit tracker 간의 Spearman's rho 상관계수로 분석하였다. 연구결과, PSQI-K 점수의 Cronbach's alpha coefficient는 0.69였고, PSQI-K와 Fitbit tracker의 각 지표값과의 correlation은 0.67 이상으로 유의하였다. 수면장애군 구분을 위한 절단점은 ≥6일 때 민감도 0.93, 특이도 0.84로 가장 적합하였다. PSQI-K는 초기 성인의 수면장애군을 스크리닝함에 있어서 신뢰도와 타당도가 양호한 도구임이 확인되었다.

• 기본간호학회지
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• 제19권4호
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• pp.434-443
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• 2012

Purpose: This study was conducted to investigate sleep patterns in nursing students as measured by an automated wireless sleep tracker and self-reported sleep scales. Methods: Data were collected from October, 2011 to May, 2012. ZQ (a symbolic number that measures the quality and quantity of sleep) was calculated from the automated wireless sleep tracker. Pittsburgh Sleep Quality Index-Korean version, Sleep scale A, and sleep satisfaction were used as self-report sleep scales. Female nursing college students (n=37) were recruited by convenience sampling. Before going to bed, they were asked to put on a head-band type sleeping sensor and to move it the next morning. Every student slept 2~4 nights with the sleep tracker. Data were collected for 86 (91.4%) of 94 nights' sleep. The students were also requested to fill in the PSQI-K, sleep scale A, and sleep satisfaction. Results: The only statistically significant correlation was between ZQ and sleep satisfaction (r=.869, p=.026). The biggest obstacle in using this device was putting on the head-band type sensor. Conclusion: Validity of the wireless sleep tracker was verified in part. The usefulness of this device in nursing research and practice was identified. Further evaluation need to be conducted with various populations.

• 한국보육지원학회지
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• 제18권6호
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• pp.75-99
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• 2022

Objective: This study aims to explore ways to empirically analyze and manage childcare teachers' job stress based on their relationship with stress-related physiological indicators measured by a fitness tracker. Methods: The study participants were 27 childcare teachers in Gyeonggi-do and wore Garmin's wearable fitness tracker Vivosmart 4 for 15 days for three months. The collected information was analyzed for mean, SD, ANOVA, and correlation using JAMOVI 2.00. Results: First, among the daily changes of physiological indicators measured by a fitness tracker, the data collected on Mondays were significant. On Mondays, the stress index was high, the duration of the rest period was short, and the sleep time was short. The stress of childcare teachers showed a significant negative relationship with the body battery which was calculated by considering the duration of the rest period, heart rate variability, stress, and activity level. Also, the duration of deep sleep was positively correlated with a low degree of stress. There was a significant relationship between the childcare teachers' psychological indicators and the biomarkers measured by fitness trackers. Conclusion/Implications: Stress research using a fitness tracker is big data, and in-depth analysis is possible. Fitness trackers can collect and utilize repeated measurement data for each individual childcare teacher.

• 전자공학회논문지S
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• 제34S권6호
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• pp.46-57
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• 1997

In this paper, we propose an efficient algorithm for adaptation of tracking windwo, which improves tracking performance of a correlation-based video tracker by rejecting background effect originated from a time-varying target. Th eproposed adaptation algorithm ajdusts the size of a tracking window by using the ratio of spatial gradient power in target region to that in backgorund region, which is especially adequate for a correlation-based tracker. Experimental results for synthetic and real image sequences show that the proposed method adapts a tracking window well to a time-varying target and so greatly suppresses background effect, which makes improvement of trakcing performance.