• Title/Summary/Keyword: Traffic Video

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A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System (스마트 항로표지 시스템에서 해상 객체 감지 가속화를 위한 방법에 관한 연구)

  • Jeon, Ho-Seok;Song, Hyun-hak;Kwon, Ki-Won;Kim, Young-Jin;Im, Tae-Ho
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.47-58
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    • 2022
  • In recent years, navigation aids, which plays as sea traffic lights, have been digitized, and are developing beyond simple sign purpose to provide various functions such as marine information collection, supervision, control, etc. For example, Busan Port which is located in South Korea is leading the application of the advanced technologies by installing cameras on buoys and recording video images to supervise maritime accidents. However, there are difficulties to perform their major functions since the advanced technologies require long-term battery operation and also management and maintenance of them are hampered by marine characteristics. This study proposes a system that can automatically notify maritime objects passing around buoys by analyzing image information. In the existing sensor-based accident prevention systems, the alarms are generated by a collision detection sensor. The system can identify the cause of the accident whilst even though it is difficult not possible to fundamentally prevent the accidents. Therefore, in order to overcome these limitations, the proposed a maritime object detection system is based on marine characteristics. The experiments demonstrate that the proposed system shows about 5 times faster processing speed than other existing algorithms.

Histogram-Based Singular Value Decomposition for Object Identification and Tracking (객체 식별 및 추적을 위한 히스토그램 기반 특이값 분해)

  • Ye-yeon Kang;Jeong-Min Park;HoonJoon Kouh;Kyungyong Chung
    • Journal of Internet Computing and Services
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    • v.24 no.5
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    • pp.29-35
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    • 2023
  • CCTV is used for various purposes such as crime prevention, public safety reinforcement, and traffic management. However, as the range and resolution of the camera improve, there is a risk of exposing personal information in the video. Therefore, there is a need for new technologies that can identify individuals while protecting personal information in images. In this paper, we propose histogram-based singular value decomposition for object identification and tracking. The proposed method distinguishes different objects present in the image using color information of the object. For object recognition, YOLO and DeepSORT are used to detect and extract people present in the image. Color values are extracted with a black-and-white histogram using location information of the detected person. Singular value decomposition is used to extract and use only meaningful information among the extracted color values. When using singular value decomposition, the accuracy of object color extraction is increased by using the average of the upper singular value in the result. Color information extracted using singular value decomposition is compared with colors present in other images, and the same person present in different images is detected. Euclidean distance is used for color information comparison, and Top-N is used for accuracy evaluation. As a result of the evaluation, when detecting the same person using a black-and-white histogram and singular value decomposition, it recorded a maximum of 100% to a minimum of 74%.

Needs Accessment of Safety Education of High School Students in Seoul (서울시 고등학생의 안전교육 실태 및 요구도 조사)

  • 김민아;이명선
    • Korean Journal of Health Education and Promotion
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    • v.18 no.3
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    • pp.133-162
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    • 2001
  • Unexpected accidents in school has been gradually increased every year, and student's mistaken was the first reason of the accident. To preventing the students from Unexpected accidents in school, safety education is more important than having strong facilities to have much more strong protecting forces for the accidents. Therefore, systematic education of safety is needed most of all, and especially, strengthening safety education in school is needed. Hereby, this study is aimed at investigating and analysing the actual condition and demand of safety education. It also conducted a survey with the target of 1,255 students in the second grade of high school in Seoul from April 20 to May 19, and the result of this study is as follows. 1. In the general features of the subject of the survey, boy students and girl students occupied 50.8% and 49.2% each, and boys' high school (34.3%), girls' high school(32.2%) and co-ed(33.5%) participated in balance. In the location, north from Han river occupied 54.6%, south were 45.2%. 2. According to the status of experiencing an accident, boys were more experienced then girls(p〈0.05). From the section, home accident(56.8%) occupied most followed by school accident, traffic accident, sports accident and poisoning. The accident happening most often in detailed category is sports accident such as basket ball, foot ball and dodge ball. The actual condition of the subject's using a school health facility shows that boys students use it more often than girl students(p〈0.01) 3. In attitude toward safety, the subject showed lower interest in safety issues than other social issues. But attitude in seriality of safety problems were high. Also, they responded ‘individual citizen’(63.1%) as the one who should make efforts for safety. Regarding knowledge of preventing safety accidents in attitude toward individual safety, 42.2% answered ‘they know a little’ and 32.6% of respondents say ‘they do not know’. To a question of the degree of the subject's following safety rules, 36.4% were answered ‘keeping’ and the group using a school health facility shows more ‘keeping’ the others(p〈0.05). 4. To a question of asking if they have experienced safety education, 51.2% answered ‘yes’. Teachers who mainly take care of safety education are answered as training teacher(48.7%). As for education time, training class(51.3%) is said to have safety education most followed by health-related event and PE(Physical Education). Frequency of education shows once or twice a session (62.8%) most often, but in case of co-ed school, 5-7times a session or more(20.1%) are being practiced. Looking at education time, 1-2 hour(s)(22.1%) or for a short time(22.1%) during class are being practiced. As an education method, instruction(43.8%) and video education(32.5%) are being practiced, and when it comes to education evaluation method, ‘not practiced’(70.0%) answered. To the question if they are satisfied with school safety education, they answered more ‘no(43.1%)’ than ‘yes(6.7%)’, and the reason is that safety education class is just for formality's sake, and the fact they already know is being repeated. The contents of safety education is composed of school safety, home safety, and first aid. 5. It is turned out that 56.5% of the total boy students and 61.1% of the total girl students recognize the necessity of safety education. To the question if safety education is needed in an elementary and middle education course, 46.4% of the subject answer answered' it's necessary'. The most reason for their answers are ‘safety education is directly related to life’. 6. Regarding the requested time of safety education is ‘one hour a week’ by 55.9%. For safety education, safety education teachers(38.7%) are answered to be the most proper. As a request for safety education, video education is answered to be the most appropriate(30.6%), followed by practical skills, lecture and discussion(p〈0.05). Demand of educational evaluation, practical skills, interview and observation are answered to be needed. To the question if they want to participate in the way of demanded safety education, 41.9% of respondents answer ‘have a mind to participate in’ (41.9%). To benefits followed by completing safety education, 72.0% of respondents answer ‘agree’, and 24.7% ‘do not agree’, which means lout 4 disagrees with completing safety education. 7. Looking at demand of safety education according to the features of the subject, ‘our position for the person who has handicapped’ was answer to the most.

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The Study of Volume Data Aggregation Method According to Lane Usage Ratio (차로이용률을 고려한 지점 교통량 자료의 집락화 방법에 관한 연구)

  • An Kwang-Hun;Baek Seung-Kirl;NamKoong Sung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.4 no.3 s.8
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    • pp.33-43
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    • 2005
  • Traffic condition monitoring system serves as the foundation for all intelligent transportation system operation. Loop detectors and Video Image Processing are the most widely common technology approach to condition monitoring in korea Highways. Lane Usage is defined as the proportion of total link volume served by each lane. In this research, the lane Usage(LU) of two lane link for one day. Interval is 56% : 44%. The LU of three lane link is 39% : 37% : 24%. The LU of four lane link is 25% : 29% : 26% : 21%. These analysis reveal that each lane distributions of link are not same. This research investigates the general concept of lane usage by using collected loop detector data and the investigated that lane distribution is different by traffic lane and lane usage is consistent by time of day.

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Development of a Passive Infrared Detector Algorithm for the Stop-line Detector of a Signalized Intersection (신호교차로의 정지선 검지기를 위한 수동형 적외선 검지기 알고리즘 개발(점유시간을 중심으로))

  • Jeong Sok-Min;Lee Seung-Hwan;Kim Nam-Sun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.2 no.1 s.2
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    • pp.25-40
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    • 2003
  • The purpose of this thesis is development of detection algorithm for stop-line detector. Detail detection area is set in basing detection area($1.8{\times}4.0m$) and traffic information(volume, occupancy, nonoccupancy) is collected by passive infrared detector at designing detection area. The basis detection area($1.8{\times}4.0m$) is named existing PIR and detection area applied on development algorithm is named proposal PIR. The proposal PIR is collected data such volume, occupancy, nonoccupancy, speed and lane change, but this thesis is limited to evaluate for volume, occupancy and nonoccupancy The procedure and each step of being developed algorithm is described in the next (1) The detection area of proposal PIR is made up of 2 of $1.8{\times}0.6m$ size(the detection area is named 1 and 3) and 1 of $1.8{\times}1.78m$ size(the detection area is named 2) (2) The image detection area is set on monitor to analyze outdoor photographing data then video frame analysis has been done by analyzer. (3) The occupancy, nonoccupancy and speed data of vehicle have been collected with the detection area 1 and 3 and lane change has been collected with combination of detection area 1, 2 and 3 The MAD and MAPE have been utilized to being compared with volume, occupancy and nonoccupancy for the field application and evaluation of a algorithm As the result, the proposal PIR data have been identified superior to the existing PIR data and the effect has been improved its information(volume, occupancy and nonoccupancy)

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