• 제목/요약/키워드: Event Recognition

검색결과 235건 처리시간 0.02초

긴급 상황 시나리오 해석을 위한 독립 객체의 규칙 기반 및 확률적 이벤트 인식 (Rule-based and Probabilistic Event Recognition of Independent Objects for Interpretation of Emergency Scenarios)

  • 이준철;최창규
    • 한국멀티미디어학회논문지
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    • 제11권3호
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    • pp.301-314
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    • 2008
  • 기존의 이벤트 인식은 한정된 규칙 기반으로 이루어졌고, 시나리오 해석은 확률 자료의 크기로 많은 학습 시간이 필요했다. 본 논문에서는 객체로부터 특징 벡터를 추출하고 각 객체의 행동 양식을 분석하여 현재 객체의 이벤트를 인식하는 방법과 확률 모델을 기반으로 본 논문에서 정의한 긴급 상황 시나리오를 해석할 수 있는 방법을 제안한다. 독립 객체의 이벤트 규칙은 주-이벤트, 움직임-이벤트, 상호-이벤트, 그리고 'FALL DOWN' 이벤트로 구성되며, 객체의 특징 벡터와 베이지안 네트워크에 의해 학습된 분할 움직임 방향 벡터(SMOV)를 통해 정의된다. 긴급 상황 시나리오는 현재 이벤트의 상태와 사후 확률에 의해 분석된다. 본 논문에서는 기존 방법에 비해 다양한 이벤트를 정의하였고 이벤트 간의 독립성을 높여 확장성이 용이하도록 하였다. 그리고 객체 추적만을 통해 얻을 수 없는 의미론적 정보를 규칙과 확률을 기반으로 획득할 수 있었다.

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Slow Feature Analysis for Mitotic Event Recognition

  • Chu, Jinghui;Liang, Hailan;Tong, Zheng;Lu, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권3호
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    • pp.1670-1683
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    • 2017
  • Mitotic event recognition is a crucial and challenging task in biomedical applications. In this paper, we introduce the slow feature analysis and propose a fully-automated mitotic event recognition method for cell populations imaged with time-lapse phase contrast microscopy. The method includes three steps. First, a candidate sequence extraction method is utilized to exclude most of the sequences not containing mitosis. Next, slow feature is learned from the candidate sequences using slow feature analysis. Finally, a hidden conditional random field (HCRF) model is applied for the classification of the sequences. We use a supervised SFA learning strategy to learn the slow feature function because the strategy brings image content and discriminative information together to get a better encoding. Besides, the HCRF model is more suitable to describe the temporal structure of image sequences than nonsequential SVM approaches. In our experiment, the proposed recognition method achieved 0.93 area under curve (AUC) and 91% accuracy on a very challenging phase contrast microscopy dataset named C2C12.

출입 이벤트 인식 (Event recognition of entering and exiting)

  • 취야오환;이창우
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2008년도 제38차 하계학술발표논문집 16권1호
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    • pp.199-204
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    • 2008
  • Visual surveillance is an active topic recently in Computer Vision. Event detection and recognition is one important and useful application of visual surveillance system. In this paper, we propose a new method to recognize the entering and exiting events based on the human's movement feature and the door's state. Without sensors, the proposed approach is based on novel and simple vision method as a combination of edge detection, motion history image and geometrical characteristic of the human shape. The proposed method includes several applications such as access control in visual surveillance and computer vision fields.

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한국식문화홍보행사 참가자의 한식에 대한 인식과 태도에 관한 연구 - 하야부사역 축제 참가자를 대상으로 - (Study on Recognition and Attitudes towards Korean Food in Korean Food Culture Publicity Event - Hayabusa Station targeting Festival participants -)

  • 강재희;고은희
    • 한국식생활문화학회지
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    • 제29권4호
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    • pp.314-325
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    • 2014
  • To contribute to the globalization of Korean food, a Korean food culture publicity event was conducted at Hayabusa Station, Tottori Province, Japan. This study investigated and analyzed recognition and preferences towards Korean food in participants at the event. The method of information acquisition was also analyzed. Most participants had prior experience eating Korean food. As for information, participants responded that they were affected by public media such as dramas, and the most effective way of getting information was participating in lectures. This study also investigated intake of 20 kinds of Korean food and found highest preferences for bibimbap, kimchi, naengmyeon, and galbigui, in that order. The main motive for participating in the Korean food culture publicity event was a desire to experience a new culture. Further, satisfaction, intention to participate, and intention to recommend Korean food were high. These attitudes had significant effects on the intention to visit Korea. In the future, Korean food culture publicity events held in foreign lands can contribute to Korean tourism.

창녕지역 축제만족도와 농특산물 인지도, 선호도, 구매특성과의 관련성 - 성별과 연령, 구매경험을 중심으로 - (Relationships among Recognition, Preference, and Purchasing Characteristics for Local Agricultural Products and Festival Satisfaction of Changnyeong Area - Compared by the Gender, Age, and Purchase Experience -)

  • 차용준;허은실
    • 한국식생활문화학회지
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    • 제29권6호
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    • pp.528-538
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    • 2014
  • The purpose of this study was to investigate the relationships among recognition, preference, and purchasing characteristics for Changnyeong onions and garlic as well as festival satisfaction among participants at agricultural product festivals in the Changnyeong region. Results showed that festival satisfaction of 'place of festival' was highest while 'convenience facility & event contents' earned the lowest scores. Most subjects (90.5%) had purchased Changnyeong agricultural and processed products. A major purchasing type was fresh agricultural products (66.7%). The pathways to recognize Changnyeong agricultural products were mostly 'promotion by related institutions' (22.0%), 'family relatives' (20.8%), 'mass media' (16.6%), and 'festivals and events' (16.1%). The most considered factors for purchasing regional products were 'geographical origin' and 'ingredients'. Changnyeong onion showed higher scores for recognition and preference and rate of purchase experience and intention than for garlic. The correlation coefficients of recognition and preference for onion and galic were 0.603 (p<0.001) and 0.598 (p<0.001), respectively. The explanation power ($R^2$) of related variables for purchase of Changnyeong onions was 0.258. The regression coefficients (${\beta}$) for 'recognition', 'preference' and 'convenient facility & event contents' were positive, whereas the regression coefficient for 'price' was negative. Recognition, preference, and convenient facility & event contents with garlic purchase showed a positive relationship ($R^2$=0.253). The most effective promotion method to increase sales of Changnyeong agricultural products was 'local festivals and events' (27.8%).

차량 번호판 목격자의 기억 평가를 위한 사건 관련 전위 연구 (Estimation of Eyewitness Identification Accuracy by Event-Related Potentials)

  • 함근수;표주연;장태익;유성호
    • The Korean Journal of Legal Medicine
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    • 제39권4호
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    • pp.115-119
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    • 2015
  • We investigated event-related potentials (ERPs) to estimate the accuracy of eyewitness memories. Participants watched videos of vehicles being driven dangerously, from an anti-impaired driving initiative. The four-letter license plates of the vehicles were the target stimuli. Random numbers were presented while participants attempted to identify the license plate letters, and electroencephalograms were recorded. There was a significant difference in activity 300-500 milliseconds after stimulus onset, between target stimuli and random numbers. This finding contributes to establishing an eyewitness recognition model where different ERP components may reflect more explicit memory that is dissociable from recollection.

재난재해 현장의 지형인지를 위한 통합 센서 모듈 개발 (Development of an Integrated Sensor Module for Terrain Recognition at Disaster Sites)

  • 서명국;윤복중;신희영;이경준
    • 드라이브 ㆍ 컨트롤
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    • 제17권3호
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    • pp.9-14
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    • 2020
  • A special purpose machine with two manipulators and quadruped crawler system is being developed to work at disaster sites where it is intended to quickly respond in the initial stages after the event. In this study, a terrain recognition module is developed so that the above special purpose machine can quickly obtain ground information to help choose its path while recognizing objects in its way, this is intended to enhance the remote driver's limited situational awareness. Terrain recognition modules were developed for two tasks (real-time path guidance, precision terrain measurements). The real-time path guidance analyzes terrain and obstacles while moving, while the precision terrain measurement feature provides more accurate terrain information by precisely measuring the ground in front of the vehicle while stationary. In this study, an air-cooled sensor protection module was developed so that the terrain recognition module can continue its vital tasks in the event of exposure to foreign substances, including scattered dust, mist and rainfall, as well as high temperatures.

영상 판독 이벤트 신호로 제어되는 실시간 차량하부 검사 시스템 엔진 개발 (Development of Real-Time Under Vehicle Inspection System Engine by Image Identification Event)

  • 전지혜;양지희;장지웅;박구만
    • 한국위성정보통신학회논문지
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    • 제10권3호
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    • pp.16-21
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    • 2015
  • 본 논문은 두 가지 영상 이벤트 신호로 제어되는 실시간 차량하부 검사 엔진에 대해 제안한다. 첫 번째 영상 이벤트는 차량 번호판 인식에 의한 과정으로 생성된 것이고, 두 번째 영상 이벤트는 차량 하부 특정 이벤트 검출에 의해 생성된 것이다. 실험 결과, 두 영상 이벤트 모두 2.8초, 1.1초로 실시간 처리에 적합하게 발생되는 것을 확인할 수 있었고, 이러한 영상 이벤트가 시스템의 제어 체계로 사용되어 후부에 연결되는 다음 대응 상황에 적합한 신호를 보내주는 것으로 확인할 수 있었다.

Systematic Study of Fluorescein-Functionalized Macrophotoinitiators for Colorimetric Bioassays

  • 이정규;한경엽;고상원
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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    • pp.263.2-263.2
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    • 2013
  • We report a systematic investigation of a set of macrophotoinitiators for use in polymerization-based signal amplification. To test the dependence of photopolymerization responses on the number of photoinitiators localized per molecular recognition event, we gradually increased the number of photoinitiator molecules coupled to a scaffold macromolecule. Macrophotoinitiators constructed with an average of 7 to 168 photoinitiators per polymer with the goals of quantifying the relationship between the number of initiators per binding event and the degree of amplified colorimetric readout. To evaluate the capacity of the macrophotoinitiators to detect molecular recognition, neutravidin was coupled to these molecules to recognize biotin-labeled DNA immobilized on biochip test surfaces. Fluorescein macroinitiators are found to be useful in detecting molecular recognition above a threshold of initiators per polymer. Above this threshold, increasing the number of initiators per macroinitiator resulted in increased signal strength.

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Random Forest를 결정로직으로 활용한 로봇의 실시간 음향인식 시스템 개발 (A Real-Time Sound Recognition System with a Decision Logic of Random Forest for Robots)

  • 송주만;김창민;김민욱;박용진;이서영;손정관
    • 로봇학회논문지
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    • 제17권3호
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    • pp.273-281
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    • 2022
  • In this paper, we propose a robot sound recognition system that detects various sound events. The proposed system is designed to detect various sound events in real-time by using a microphone on a robot. To get real-time performance, we use a VGG11 model which includes several convolutional neural networks with real-time normalization scheme. The VGG11 model is trained on augmented DB through 24 kinds of various environments (12 reverberation times and 2 signal to noise ratios). Additionally, based on random forest algorithm, a decision logic is also designed to generate event signals for robot applications. This logic can be used for specific classes of acoustic events with better performance than just using outputs of network model. With some experimental results, the performance of proposed sound recognition system is shown on real-time device for robots.