• 제목/요약/키워드: Pedestrian Classification

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A Study on the Development of Urban Design and Preservation of the Earth Environment -Focused on Peter Calthorpe's Urbanism- (지구환경보전을 위한 도시설계의 전개에 관한 연구 -건축가 피터 칼솝프의 어바니즘을 중심으로-)

  • Kwack, Dong-Wha;Kwon, Young-Sang
    • Journal of The Korean Digital Architecture Interior Association
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    • 제13권4호
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    • pp.95-108
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    • 2013
  • The purpose of this study is to analyze and to grasp Peter Calthorpe's urbanism through the process that is compared with various developments of urban design field for the preservation of global environment. From this study, Peter Calthorpe's urbanism for global environment is comprehended according to design stages. As a design goal, He seeks a green urbanism that puts emphasis on land use and transportation. As a urban planning, he devises urban footprint for the tool of evaluation and urban planning, and proposes five place types toward mixed-use development, and advocates Transect for eco-friendly land use. As a urban design, he devises urban network model for transportation network based on accessibility, and devises TOD and TOC model for preventing urban sprawl and mitigating carbon emissions, and advocates TND model for pedestrian-friendly space and community life. He makes importance of urban design. Because he thinks that integrative solution is required to global environment and urban design of integrative characteristic is suitable to preserve global environment. The results of this study are summarized as the followings: First, type classification of urbanism for the preservation of global environment and grasping purposes, methods, characteristics according to the types. Second, grasping characteristics and location of Peter Calthorpe's urbanism as a green urbanism. Third, proposing the direction of improvement for our urban planning and design.

A Study on Development of Diagnostic Index for Measure of Rural Villages Landscapes Level (농촌마을단위 경관진단지표 개발에 관한 연구)

  • Song, Hee-Jung;Kim, Dae-Sik
    • Journal of Korean Society of Rural Planning
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    • 제19권3호
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    • pp.107-116
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    • 2013
  • In this study, it provides the diagnostic index for the rural landscape formation. For the development of diagnostic index, this study first analyzed documents and papers on the landscape formation. Landscape types are also classified by their function and then landscape index was developed by AHP method. Classification system was categorized as three steps: 2 items for 1st step, 10 items for 2nd step, and 20 items(criteria) for 3rd step. In the survey of weighting values with AHP method, the analysis result for the first step showed that rural village landscape is more important than landscape around the village by approximately 20%. In the second step, residence is rated as the most important, followed by village tree planting, and then farmland around the rural villages, greenery, and water environment. In the third step, the feng shui is rated as the most important, followed by tree planting, village forest, culture, and history. While vehicle maintenance, village alleys and pedestrian facilities are rated lower. In index of the around the village, weighting value for index of the farm land and skyline has the highest value. While species richness, water quality and water resources were rated relatively low. In the future, the rural landscapes diagnosis index will be applied to measure the level of the rural villages landscapes and it is expected to propose political support for the landscapes formation.

Form of Master Plan according to the Change of the Times - An Influence of Educational Policy and Managing Organization - (대학(大學) 마스터플렌 형성(形成)의 시대적(時代的) 변천(變遷)에 관한 연구(硏究) - 정책(政策) 및 조직(組織)의 마스터플렌 형성(形成)에 미치는 영향(影響)에 관하여 -)

  • Min, Chang-Kee
    • Journal of the Korean Institute of Educational Facilities
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    • 제9권1호
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    • pp.27-36
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    • 2002
  • This paper is to evaluate the campus master plan, which is influenced by Korean educational policy and managing organization, with respect to land use and block plans of buildings. It uses a case study method to periodically know specific details to form a master plan. It is found, at first, that design method of master plan was influenced by some educational policies and managing organization of ministry of education. Secondly, design methods have been changed according to the change of the times. Any master plan was not formulated until the 1960s. Seoul National University formed a master plan adopting radiated sector pattern for land use and a block plan in the early years of the 1970s. Chungnam National University used a squared space style with a trouble of the learned from the SNU design methods in the year 1974. A concept of axis according to topography] in Andong National University and environmental preservation in Yiosu National University was used in the 1980s. Korean Athletic Educational University used a transportation model for facilitating efficiency to use university land and making pedestrian convenient by classification with fast and slow walker's way.

An indoor localization system for estimating human trajectories using a foot-mounted IMU sensor and step classification based on LSTM

  • Ts.Tengis;B.Dorj;T.Amartuvshin;Ch.Batchuluun;G.Bat-Erdene;Kh.Temuulen
    • International journal of advanced smart convergence
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    • 제13권1호
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    • pp.37-47
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    • 2024
  • This study presents the results of designing a system that determines the location of a person in an indoor environment based on a single IMU sensor attached to the tip of a person's shoe in an area where GPS signals are inaccessible. By adjusting for human footfall, it is possible to accurately determine human location and trajectory by correcting errors originating from the Inertial Measurement Unit (IMU) combined with advanced machine learning algorithms. Although there are various techniques to identify stepping, our study successfully recognized stepping with 98.7% accuracy using an artificial intelligence model known as Long Short-Term Memory (LSTM). Drawing upon the enhancements in our methodology, this article demonstrates a novel technique for generating a 200-meter trajectory, achieving a level of precision marked by a 2.1% error margin. Indoor pedestrian navigation systems, relying on inertial measurement units attached to the feet, have shown encouraging outcomes.

Developing the Traffic Accident Prediction Model using Classification And Regression Tree Analysis (CART분석을 이용한 교통사고예측모형의 개발)

  • Lee, Jae-Myung;Kim, Tae-Ho;Lee, Yong-Taeck;Won, Jai-Mu
    • International Journal of Highway Engineering
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    • 제10권1호
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    • pp.31-39
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    • 2008
  • Preventing the traffic accident by accurately predicting it in advance can greatly improve road traffic safety. The accurate traffic accident prediction model requires not only understanding of the factors that cause the accident but also having the transferability of the model. So, this paper suggest the traffic accident diagram using CART(Classification And Regression Tree) analysis, developed Model is compared with the existing accident prediction models in order to test the goodness of fit. The results of this study are summarized below. First, traffic accident prediction model using CART analysis is developed. Second, distance(D), pedestrian shoulder(m) and traffic volume among the geometrical factors are the most influential to the traffic accident. Third. CART analysis model show high predictability in comparative analysis between models. This study suggest the basic ideas to evaluate the investment priority for the road design and improvement projects of the traffic accident blackspots.

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Factors Affecting Hemodynamic Instability in Patients with Pelvic Bone Fracture (골반골 골절 환자의 혈역학적 불안정화에 미치는 영향요소)

  • Park, Seung Min;Lee, Kang Hyun;Choi, Han Ju;Park, Kyung Hye;Kim, Sang Chul;Kim, Hyun;Hwang, Sung Oh
    • Journal of Trauma and Injury
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    • 제21권1호
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    • pp.22-27
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    • 2008
  • Purpose: Treatment and prognosis in patients with pelvic bone fracture depend on the characteristics of the fracture and the stability of the pelvic ring. The purpose of this study is to analyze the characteristics of and the relationships between fracture patterns, injury mechanisms, clinical courses, and prognoses according to the hemodynamic pattern. Methods: Between January 2004 and September 2006, 89 patients under diagnosis of pelvic bone fracture were retrospectively analyzed on the basis of medical records and radiologic examinations. Patients with confirmed hemorragic shock with a systolic pressure of less than 90 mmHg were defined as the shock group. Young's classification was used to characterize fracture patterns. Factors relating to the clinical manifestation and to treatments such as transfusion and surgery were analytically compared. Results: The mean age of the patients was $48.8{\pm}18.7$, among which 49 (55.1%) were male. The numbers of shock and non-shock patients were 35 (39.3%) and 54 (60.7%) respectively. Eighteen (51.4%) of the shock patient had injuries resulting from pedestrian accidents (p=0.008). According to Young's classification, lateral impact fractures amounted to 20 and 33, front-rear impact fractures to 9 and 20, and multiple fractures to 6 and 1 among the shock and non-shock patients, respectively (p=0.027). Thirty-nine (39) cases in non-shock injuries were conservatively managed while 18 cases in shock injuries were surgically treated. In the shock group, the liver and the kidney were often damaged, as well. Among the shock patients, the average admission period was $7.5{\pm}8.7days$ in intensive care and $55.1{\pm}47.9days$ in total, which were longer than the corresponding numbers of days for the non-shock patients (p<0.05). No deaths occurred in the non-shock group while 5 deaths (14.2%) occurred in the shock group (p=0.007). Conclusion: The factors affecting hemodynamic instability in patients with pelvic bone fracture are injury mechanism, classification of fracture, and associated injuries.

ICECI Based External Causes Analysis of Severe Pediatric Injury (ICECI (International Classification of External Causes of Injuries)를 이용한 중증 소아외상의 분류)

  • Ahn, Ki Ok;Kim, Jae Eun;Jang, Hye Young;Jung, Koo Young
    • Journal of Trauma and Injury
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    • 제19권1호
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    • pp.1-7
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    • 2006
  • Purpose: Injury is a leading cause of morbidity and mortality for children. As an injury prevention measure, the differences in external causes of severe pediatric injuries based on ICECI were analyzed according to age groups. Methods: A retrospective study was performed for pediatric patients under 15 years of age, who had been admitted to the emergency department with severe injuries from January 1998 to December 2004. The external causes of injury were investigated according to the ICECI: intent, mechanisms, places of occurrence, objects/substances producing injury, and related activities. The patients were divided into four groups based on age: infant (<0 year), toddler (1~4 years), preschool age (5~8 years), and school age (9~15 years). Results: The injury mechanisms, the places of occurrence and the related objects/substances vary with the age groups. The most common subtype of traffic accidents was pedestrian injury in pre-school age group. Falls most frequently occurred in the toddler group. But falls from a height of less than l meter height (6 patients) occurred only in the infant group. The most common place of occurrence in the infant group was the home, and that of other groups was the road. The related objects/substances for falls, for example, household furnitures and playground equipment depended on the age group. Conclusion: The age-group specific characteristics of severe pediatric injury were analyzed successfully through the ICECI. Therefore, when establishing a plan for the prevention of pediatric injury, consideration must be given to the differences in the external causes of injuries according to age group.

Multiple Pedestrians Detection using Motion Information and Support Vector Machine from a Moving Camera Image (이동 카메라 영상에서 움직임 정보와 Support Vector Machine을 이용한 다수 보행자 검출)

  • Lim, Jong-Seok;Park, Hyo-Jin;Kim, Wook-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • 제12권4호
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    • pp.250-257
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    • 2011
  • In this paper, we proposed the method detecting multiple pedestrians using motion information and SVM(Support Vector Machine) from a moving camera image. First, we detect moving pedestrians from both the difference image and the projection histogram which is compensated for the camera ego-motion using corresponding feature sets. The difference image is simple method but it is not detected motionless pedestrians. Thus, to fix up this problem, we detect motionless pedestrians using SVM The SVM works well particularly in binary classification problem such as pedestrian detection. However, it is not detected in case that the pedestrians are adjacent or they move arms and legs excessively in the image. Therefore, in this paper, we proposed the method detecting motionless and adjacent pedestrians as well as people who take excessive action in the image using motion information and SVM The experimental results on our various test video sequences demonstrated the high efficiency of our approach as it had shown an average detection ratio of 94% and False Positive of 2.8%.

Car-tire-related Crushing Injury of the Lower Leg in Children (자동차 바퀴에 의한 소아 아래다리의 압궤 손상)

  • Choi, JaeYeon;Jang, JaeHo;Woo, JaeHyuck;Park, WonBin;Kim, JinJoo;Hyun, SungYeol;Lee, Geun;Gwak, JeeHoon
    • Journal of Trauma and Injury
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    • 제26권3호
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    • pp.175-182
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    • 2013
  • Purpose: Crushing injuries by car tires result from a combination of friction, shearing, and compression forces and the severity of injury is influenced by the acceleration. Because car-tire injuries of the lower leg in children are common these days but they have received little attention; thus, our purpose was to look closely into this problem. Methods: A retrospective analysis was conducted of data from children under 15 years old age who visited an emergency department because of a car-tire-related crushing injury to the lower leg in pedestrian traffic accident from January 2008 to September 2012. The patient's age, sex, site of injury, degree of injury, associated injuries, type of surgery, and complications were reviewed. Results: There were 39 children, the mean age was 8.0 years, and 71.8% were boys. The dorsal part of the leg was involved most frequently. According to the severity classification, 15 children were grade I, 6 were grade II, and 18 were grade III. Among 24 patients, 13 were treated with skin graft and 3 were treated using a sural flap. Twelve patients developed complications, such as hypertrophic scarring, contractures, and deformities with significant bone loss. Conclusion: Various degrees of skin or soft tissue defects were caused in children by car tires. In this study, patients were often also had tendon or bone damage. Proper and timely initial treatments are needed to reduce the incidence of infection, the number of operative procedures, and the hospital stay.

Design of Upper Body Detection System Using RBFNN Based on HOG Algorithm (HOG기반 RBFNN을 이용한 상반신 검출 시스템의 설계)

  • Kim, Sun-Hwan;Oh, Sung-Kwun;Kim, Jin-Yul
    • Journal of the Korean Institute of Intelligent Systems
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    • 제26권4호
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    • pp.259-266
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    • 2016
  • Recently, CCTV cameras are emplaced actively to reinforce security and intelligent surveillance systems have been under development for detecting and monitoring of the objects in the video. In this study, we propose a method for detection of upper body in intelligent surveillance system using FCM-based RBFNN classifier realized with the aid of HOG features. Firstly, HOG features that have been originally proposed to detect the pedestrian are adopted to train the unique gradient features about upper body. However, HOG features typically exhibit a very high dimension of which is proportional to the size of the input image, it is necessary to reduce the dimension of inputs of the RBFNN classifier. Thus the well-known PCA algorithm is applied prior to the RBFNN classification step. In the computer simulation experiments, the RBFNN classifier was trained using pre-classified upper body images and non-person images and then the performance of the proposed classifier for upper body detection is evaluated by using test images and video sequences.