• Title/Summary/Keyword: Computer Vision

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Real-time 3D Feature Extraction Combined with 3D Reconstruction (3차원 물체 재구성 과정이 통합된 실시간 3차원 특징값 추출 방법)

  • Hong, Kwang-Jin;Lee, Chul-Han;Jung, Kee-Chul;Oh, Kyoung-Su
    • Journal of KIISE:Software and Applications
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    • v.35 no.12
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    • pp.789-799
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    • 2008
  • For the communication between human and computer in an interactive computing environment, the gesture recognition has been studied vigorously. The algorithms which use the 2D features for the feature extraction and the feature comparison are faster, but there are some environmental limitations for the accurate recognition. The algorithms which use the 2.5D features provide higher accuracy than 2D features, but these are influenced by rotation of objects. And the algorithms which use the 3D features are slow for the recognition, because these algorithms need the 3d object reconstruction as the preprocessing for the feature extraction. In this paper, we propose a method to extract the 3D features combined with the 3D object reconstruction in real-time. This method generates three kinds of 3D projection maps using the modified GPU-based visual hull generation algorithm. This process only executes data generation parts only for the gesture recognition and calculates the Hu-moment which is corresponding to each projection map. In the section of experimental results, we compare the computational time of the proposed method with the previous methods. And the result shows that the proposed method can apply to real time gesture recognition environment.

Fast and Efficient Implementation of Neural Networks using CUDA and OpenMP (CUDA와 OPenMP를 이용한 빠르고 효율적인 신경망 구현)

  • Park, An-Jin;Jang, Hong-Hoon;Jung, Kee-Chul
    • Journal of KIISE:Software and Applications
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    • v.36 no.4
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    • pp.253-260
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    • 2009
  • Many algorithms for computer vision and pattern recognition have recently been implemented on GPU (graphic processing unit) for faster computational times. However, the implementation has two problems. First, the programmer should master the fundamentals of the graphics shading languages that require the prior knowledge on computer graphics. Second, in a job that needs much cooperation between CPU and GPU, which is usual in image processing and pattern recognition contrary to the graphic area, CPU should generate raw feature data for GPU processing as much as possible to effectively utilize GPU performance. This paper proposes more quick and efficient implementation of neural networks on both GPU and multi-core CPU. We use CUDA (compute unified device architecture) that can be easily programmed due to its simple C language-like style instead of GPU to solve the first problem. Moreover, OpenMP (Open Multi-Processing) is used to concurrently process multiple data with single instruction on multi-core CPU, which results in effectively utilizing the memories of GPU. In the experiments, we implemented neural networks-based text extraction system using the proposed architecture, and the computational times showed about 15 times faster than implementation on only GPU without OpenMP.

Contour Extraction Method using p-Snake with Prototype Energy (원형에너지가 추가된 p-Snake를 이용한 윤곽선 추출 기법)

  • Oh, Seung-Taek;Jun, Byung-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.4
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    • pp.101-109
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    • 2014
  • It is an essential element for the establishment of image processing related systems to find the exact contour from the image of an arbitrary object. In particular, if a vision system is established to inspect the products in the automated production process, it is very important to detect the contours for standardized shapes such lines and curves. In this paper, we propose a prototype adaptive dynamic contour model, p-Snake with improved contour extraction algorithms by adding the prototype energy. The proposed method is to find the initial contour by applying the existing Snake algorithm after Sobel operation is performed for prototype analysis. Next, the final contour of the object is detected by analyzing prototypes such as lines and circles, defining prototype energy and using it as an additional energy item in the existing Snake function on the basis of information on initial contour. We performed experiments on 340 images obtained by using an environment that duplicated the background of an industrial site. It was found that even if objects are not clearly distinguished from the background due to noise and lighting or the edges being insufficiently visible in the images, the contour can be extracted. In addition, in the case of similarity which is the measure representing how much it matches the prototype, the prototype similarity of contour extracted from the proposed p-ACM is superior to that of ACM by 9.85%.

Implementation of the automatic standby power blocking socket outlet having a blocking power threshold per electronic device by the smart machine (스마트 기기에 의해 전자기기별 차단전력문턱치 설정기능이 장착된 자동대기전력 차단콘센트 구현)

  • Oh, Chang-Sun;Park, Chan-Young;Kim, Dong-Hoi;Kim, Gi-Taek
    • Journal of Digital Contents Society
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    • v.15 no.4
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    • pp.481-489
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    • 2014
  • In this paper, the automatic standby power blocking socket outlet to reduce standby power by blocking power threshold is implemented. Where, the standby power means a flowing power when a disused power electronic is plugged into the socket outlet. The proposed socket outlet can cut off the standby power by establishing a proper block power threshold electronic device according to each electronic device because it can monitor the amount of power through the smart machines such as the real-time PC or mobile phone and directly control the blocking power threshold. The software is implemented by using Visual Studio software, code vision and SN8 C studio, and the hardware is embodied in ATmega128, SN8F27E93S, USB to UART, and relay etc. Through the simulation, we find that the standby power of the proposed method is similar to that of the conventional method in case of the cellular phone but the standby power of the proposed method is much less than that of the conventional method in case of the computer, air conditioning, and set-top box. Therefore, it is proved that the proposed socket outlet has a superior performance in terms of the standby power.

Noise Removal using Fuzzy Mask Filter (퍼지 마스크 필터를 이용한 잡음 제거)

  • Lee, Sang-Jun;Yoon, Seok-Hyun;Kim, Kwang-Baek
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.41-45
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    • 2010
  • Image processing techniques are fundamental in human vision-based image information processing. There have been widely studied areas such as image transformation, image enhancement, image restoration, and image compression. One of research subgoals in those areas is enhancing image information for the correct information retrieval. As a fundamental task for the image recognition and interpretation, image enhancement includes noise filtering techniques. Conventional filtering algorithms may have high noise removal rate but usually have difficulty in conserving boundary information. As a result, they often use additional image processing algorithms in compensation for the tradeoff of more CPU time and higher possibility of information loss. In this paper, we propose a Fuzzy Mask Filtering algorithm that has high noise removal rate but lesser problems in above-mentioned side-effects. Our algorithm firstly decides a threshold based on fuzzy logic with information from masks. Then it decides the output pixel value by that threshold. In a designed experiment that has random impulse noise and salt pepper noise, the proposed algorithm was more effective in noise removal without information loss.

The Study on the Effectiveness and Satisfaction of the 'Disaster Safety and On-Site Emergency Management' weekend course in the High School-University affiliated career experience activities

  • Yun, Hyeong-Wan;Jung, Ji-Yeon;Jung, Eun-kyung
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.12
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    • pp.143-149
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    • 2019
  • This study investigates the satisfaction of students who participated in 'Disaster Safety and On-Site Emergency Management' weekend course, the high school-university affiliated program, to provide the basic data on university's major linked program developing and teaching methods. 98 high school students attended the courses at D General high school and B University in North Jeonlla Province. Among the participants, 52%(51 students) were sophomores, while 56.1%(55 students) were male and 43.9%(43 students) were female. The collected data was analyzed by using the SPSS statistics version 21.0 program. 80.6%(79 students) among the participants chose the weekend course program by themselves, 85.7%(84 students) were with clear motivation and goal, and 42.9%(42 students) answered "so interested studying Emergency at a college in the future" The most important reasons to choose this program are as follows: score 4.68 for 'the degree to which the useful program for youth', score 4.58 for 'the leader's expertise', and score 4.53 for 'reflecting the opinion of youth.' After the program's experience, the 'certificate for cardiopulmonary resuscitation' was the most important and the most satisfactory with score 4.78 and score 4.83 respectively. As the university career program using various job experience can be a meaningful experience that enhance the level of career status and career decisions of high school students, this program will strengthen the affiliation between high school and university curriculum and establish the sufficient national social system environment.

Object Extraction Technique using Extension Search Algorithm based on Bidirectional Stereo Matching (양방향 스테레오 정합 기반 확장탐색 알고리즘을 이용한 물체추출 기법)

  • Choi, Young-Seok;Kim, Seung-Geun;Kang, Hyun-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.2
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    • pp.1-9
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    • 2008
  • In this paper, to extract object regions in stereo image, we propose an enhanced algorithm that extracts objects combining both of brightness information and disparity information. The approach that extracts objects using both has been studied by Ping and Chaohui. In their algorithm, the segmentation for an input image is carried out using the brightness, and integration of segmented regions in consideration of disparity information within the previously segmented regions. In the regions where the brightness values between object regions and background regions are similar, however, the segmented regions probably include both of object regions and background regions. It may cause incorrect object extraction in the merging process executed in the unit of the segmented region. To solve this problem, in proposed method, we adopt the merging process which is performed in pixel unit. In addition, we perform the bi-directional stereo matching process to enhance reliability of the disparity information and supplement the disparity information resulted from a single directional matching process. Further searching for disparity is decided by edge information of the input image. The proposed method gives good performance in the object extraction since we find the disparity information that is not extracted in the traditional methods. Finally, we evaluate our method by experiments for the pictures acquired from a real stereoscopic camera.

Design and Implementation of the Stop line and Crosswalk Recognition Algorithm for Autonomous UGV (자율 주행 UGV를 위한 정지선과 횡단보도 인식 알고리즘 설계 및 구현)

  • Lee, Jae Hwan;Yoon, Heebyung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.3
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    • pp.271-278
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    • 2014
  • In spite of that stop line and crosswalk should be aware of the most basic objects in transportation system, its features extracted are very limited. In addition to image-based recognition technology, laser and RF, GPS/INS recognition technology, it is difficult to recognize. For this reason, the limited research in this area has been done. In this paper, the algorithm to recognize the stop line and crosswalk is designed and implemented using image-based recognition technology with the images input through a vision sensor. This algorithm consists of three functions.; One is to select the area, in advance, needed for feature extraction in order to speed up the data processing, 'Region of Interest', another is to process the images only that white color is detected more than a certain proportion in order to remove the unnecessary operation, 'Color Pattern Inspection', the other is 'Feature Extraction and Recognition', which is to extract the edge features and compare this to the previously-modeled one to identify the stop line and crosswalk. For this, especially by using case based feature comparison algorithm, it can identify either both stop line and crosswalk exist or just one exists. Also the proposed algorithm is to develop existing researches by comparing and analysing effect of in-vehicle camera installation and changes in recognition rate of distance estimation and various constraints such as backlight and shadow.

Development of Education Program for Early childhoods (유아용 교육프로그램의, 개발)

  • 김경화;박덕원
    • Journal of the Korea Computer Industry Society
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    • v.2 no.7
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    • pp.885-894
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    • 2001
  • The production and application of multimedia by domain in accordance with an infant level on the educational spot are some what insufficient to satisfy and difficult to be connected with class activities. Therefore, This essay proposes a way that it products educational program in accordance with a child level using ToolBook II and applies to class activities directly so that the infants can promote learning achievement. The embodied program is to be classified into six domains, a letter world, a figure world, a colorful world, a nursery rhyme world, a nursery tale world and internet site, on the basis of the play domain of infant education course. It is different from the existing CD ROM Title for young children by subject. The program is appropriately applied close multimedia factor for infants, such as images and sounds in order to stimulate their hearing and vision because it is programmed just for young children. And also, it is made up to be able to be applied without suing letters because they are unaccustomed to letter. After it have been applied to infants, A Rating-measure method is chosen in the course of an evaluation. Consequently, It shows that, a letter world, a figure world and a colorful world of each domain have an efficient learning effect and also at the ages of 5~7, 7 year-old infants have the best efficient learning effect.

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Optical Design of a Reflecting Omnidirectional Vision System for Long-wavelength Infrared Light (원적외선용 반사식 전방위 비전 시스템의 광학 설계)

  • Ju, Yun Jae;Jo, Jae Heung;Ryu, Jae Myung
    • Korean Journal of Optics and Photonics
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    • v.30 no.2
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    • pp.37-47
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    • 2019
  • A reflecting omnidirectional optical system with four spherical and aspherical mirrors, for use with long-wavelength infrared light (LWIR) for night surveillance, is proposed. It is designed to include a collecting pseudo-Cassegrain reflector and an imaging inverse pseudo-Cassegrain reflector, and the design process and performance analysis is reported in detail. The half-field of view (HFOV) and F-number of this optical system are $40-110^{\circ}$ and 1.56, respectively. To use the LWIR imaging, the size of the image must be similar to that of the microbolometer sensor for LWIR. As a result, the size of the image must be $5.9mm{\times}5.9mm$ if possible. The image size ratio for an HFOV range of $40^{\circ}$ to $110^{\circ}$ after optimizing the design is 48.86%. At a spatial frequency of 20 lp/mm when the HFOV is $110^{\circ}$, the modulation transfer function (MTF) for LWIR is 0.381. Additionally, the cumulative probability of tolerance for the LWIR at a spatial frequency of 20 lp/mm is 99.75%. As a result of athermalization analysis in the temperature range of $-32^{\circ}C$ to $+55^{\circ}C$, we find that the secondary mirror of the inverse pseudo-Cassegrain reflector can function as a compensator, to alleviate MTF degradation with rising temperature.