• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.155-157
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• 2012

본 논문에서는 집적 영상 기술에 기반한 컴퓨터 3D 영상 복원을 이용하여 비선형 3D 영상 상관기를 제안한다. 제안하는 방법에서는 먼저 기준 3D 물체와 목표 3D 물체의 요소 영상들을 렌즈 어레이를 통해 픽업한다. 이 픽업된 영상에 컴퓨터 집적 영상 복원 방법을 사용하여 목표 평면 영상과 기준 평면 영상들이 복원된다. 복원된 기준 평면 영상과 목표 평면 영상들 간의 비선형 상호상관을 통해 인식을 수행한다. 제안된 방법의 유용함을 보이기 위해 기존의 방법과 비교하여 기초적인 상관관계 실험을 수행하고 그 결과를 발표한다.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1345-1360
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• 2016

In this paper, we propose a new real-time human detection under omni-directional cameras for visual surveillance purpose, based on CNN with unified detection and AGMM. Compared to CNN-based state-of-the-art object detection methods. YOLO model-based object detection method boasts of very fast object detection, but with less accuracy. The proposed method adapts the unified detecting CNN of YOLO model so as to be intensified by the additional foreground contextual information obtained from pre-stage AGMM. Increased computational time incurred by additional AGMM processing is compensated by speed-up gain obtained from utilizing 2-D input data consisting of grey-level image data and foreground context information instead of 3-D color input data. Through various experiments, it is shown that the proposed method performs better with respect to accuracy and more robust to environment changes than YOLO model-based human detection method, but with the similar processing speeds to that of YOLO model-based one. Thus, it can be successfully employed for embedded surveillance application.

• 대한물리의학회지
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• 제16권4호
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• pp.95-102
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• 2021

PURPOSE: This study examined the muscle activity of the abdominal muscle when lifting with abdominal hollowing with visual feedback and lifting with a pelvic compression belt. This study suggests how to lift an object safely in the workplace for people who bend their backs repeatedly. METHODS: The study was conducted on healthy men in their 20s and 30s. When lifting a 7kg object, lifting with abdominal hollowing with visual feedback, and lifting an object with a pelvic compression belt were performed three times in random order. The muscle activities were measured rectus abdominis (RA), external oblique (EO), internal oblique/transverse abdominis (IO/TrA) muscles, and abdominal hollowing exercises, and box lifting exercises were carried out in advance before the experiment. One-way ANOVA was used to compare muscle activities, and a Tukey HSD was used for post-analysis. The level of significance was set to .05. RESULTS: According to the study, there was no significant difference in muscle activity of the RA muscle depending on the lifting method (p > .05). There were significant differences between the EO and IO/TrA muscle (p < .05). The IO/TrA muscle activity showed the largest increase in lifting an abdominal hollowing with visual feedback (p < .05). The EO muscle activity increased in pelvic compression belt lifting (p < .05). The muscle activity was increased in RA, but there was no significant difference (p < .05). CONCLUSION: Abdominal hollowing lifting with visual feedback increases the muscle activity of the IO/TrA muscle, which is higher than normal, and affects the core stability of the body.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.1-10
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• 2024

Individuals with visual impairments face numerous challenges in their daily lives, with navigating streets and public spaces being particularly daunting. The inability to identify safe crossing locations and assess the feasibility of crossing significantly restricts their mobility and independence. Globally, an estimated 285 million people suffer from visual impairment, with 39 million categorized as blind and 246 million as visually impaired, according to the World Health Organization. In Saudi Arabia alone, there are approximately 159 thousand blind individuals, as per unofficial statistics. The profound impact of visual impairments on daily activities underscores the urgent need for solutions to improve mobility and enhance safety. This study aims to address this pressing issue by leveraging computer vision and deep learning techniques to enhance object detection capabilities. Two models were trained to detect objects: one focused on street crossing obstacles, and the other aimed to search for objects. The first model was trained on a dataset comprising 5283 images of road obstacles and traffic signals, annotated to create a labeled dataset. Subsequently, it was trained using the YOLOv8 and YOLOv5 models, with YOLOv5 achieving a satisfactory accuracy of 84%. The second model was trained on the COCO dataset using YOLOv5, yielding an impressive accuracy of 94%. By improving object detection capabilities through advanced technology, this research seeks to empower individuals with visual impairments, enhancing their mobility, independence, and overall quality of life.

• 산업경영시스템학회지
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• 제20권44호
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• pp.463-473
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• 1997

In this paper, driver's judgements for the priorities of vehicle devices were studied to establish the standard of design of inside devices. The differences within drivers who have different careers were also studied. For this study, two experiments were conducted. First experiment was peformed in terms of total devices in the vehicle cockpit, and second was peformed in terms of the visual devices that these were the source of visual information. These experiments were analyzed using AHP (Analytic Hierarchy Process) method. The result showed the priorities of devices and little relationship between the career and the judgement. Especially, it was shown that the novice tended to depend on the information from visual devices.

• 한국CDE학회논문집
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• 제15권2호
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• pp.136-143
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• 2010

Realistic Modeling is to maximize the reality of the environment in which perception is made by virtual environment or remote control using two or more senses of human. Especially, the field of haptic rendering, which provides reality through interaction of visual and tactual sense in realistic model, has brought attention. Haptic rendering calculates the force caused by model deformation during interaction with a virtual model and returns it to the user. Deformable model in the haptic rendering has more complexity than a rigid body because the deformation is calculated inside as well as the outside the model. For this model, Gibson suggested the 3D ChainMail algorithm using volumetric data. However, in case of the deformable model with non-homogeneous materials, there were some discordances between visual and tactual sense information when calculating the force-feedback in real time. Therefore, we propose an algorithm for the Volume Haptic Rendering of non-homogeneous deformable object that reflects the force-feedback consistently in real time, depending on visual information (the amount of deformation), without any post-processing.

• 한국자동차공학회논문집
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• 제8권4호
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• pp.158-168
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• 2000

Vehicle driving simulators can provide engineers with benefits on the development and modification of vehicle models. One of the most important factors to realistic simulations is the fidelity given by a motion system and a real-time visual image generation system. Virtual reality technology has been widely used to achieve high fidelity. In this paper the virtual environment including a visual system like a head-mounted display is developed for a vehicle driving simulator system by employing the virtual reality technique. virtual vehicle and environment models are constructed using the object-oriented analysis and design approach. Accordint to the object model a three dimensional graphic model is developed with CAD tools such as Rhino and Pro/E. For the real-time image generation the optimized IRIS Performer 3D graphics library is embedded with the multi-thread methodology. Compared with the single loop apprach the proposed methodology yields an acceptable image generation speed 20 frames/sec for the simulator.

• 한국멀티미디어학회논문지
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• 제19권3호
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• pp.673-679
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• 2016

Study the movement was formed and developed through the history of the birth of film and animation. The techniques of the immaterial object movement of in the media art which accompany movement have different operational and symbolic aspects with a film or a traditional(existing) animation. Focused on the works of media artist and want to study the movement of media art production methods.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.89-92
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• 1996

In this paper, we developed visual tracking algorithm using double active bar. The active bar model to represent the object can reduce the search space of energy surface and better performance than those of snake model. However, the contour will not find global equilibrium when driving force caused by image may be weak. To overcome this problem. Double active bar is proposed for finding the global minimum point without any dependence on initialization. To achieve the goal, an deformable model with two initial contours in attempted to search for a global minimum within two specific initial contours. This approach improve the performance of finding the contour of target. To evaluate the performance, some experiments are executed. We can achieved the good result for tracking a object on noisy image.