• Title/Summary/Keyword: color-scheme

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Smoke Detection using Block-based Difference Images and Projections (블록기반 차영상과 투영 그래프를 이용한 연기검출)

  • Kim, Dong-Keun;Kim, Won-Ho
    • The KIPS Transactions:PartB
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    • v.14B no.5
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    • pp.361-368
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    • 2007
  • In this paper, we propose a smoke detection method which is based on block-wise difference of image frames in video. Our proposed method is composed of three steps which are (a) the detection step of the changed regions against the background, (b) the background update step, and (c) the smoke determination step from the changed regions. We first construct the block mean Image of frames in video. And to extract the changed regions against the background, we use a block-wise difference between background's block mean image and a current input frame's block mean image. After applying projections in block-based difference images, we can determine the changed regions as rectangles using projections of difference images. we propose a update scheme of background's block mean image using the projections. We decide the smoke region using the femoral statistics of the central position and YUV color in the changed region.

Analysis Performance of VLC System according to the Transmission Distance and Angle of Incidence (전송 거리 및 입사각에 따른 가시광 통신 시스템 성능 분석에 관한 고찰)

  • Kim, Gyun-Tak;Han, Doo-Hee;Lee, Kye-San;Lee, Kyu-Jin
    • Journal of Convergence Society for SMB
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    • v.4 no.4
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    • pp.37-42
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    • 2014
  • In this paper, we analyzed the main factors that affect the performance in Visible Light Communication (VLC) system. Generally, published papers of VLC system have been studies to focus on increased data rates, transmission distance and modulation scheme. Therefore, in order to analyze detailed environment for VLC system, we was performed to analyze the performance of a major impact on the VLC system according to communication distance and the angle of incidence. The computer simulation results show that the performance attenuation was confirmed.

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Crime Prevention Through Environmental Design of Underground Parking in Commercial Facilities - Field survey of Underground Parking Spaces in Department stores, Large Discount Mart and Mixed Used Commercial Facilities - (상업시설 지하주차장의 CPTED계획요소에 관한 연구 - 대형마트와 백화점, 복합상업시설 지하주차장 현장조사 -)

  • Min, Young Hee;Kwon, Ju-Young;Ha, Mi-Kyoung
    • Korean Institute of Interior Design Journal
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    • v.25 no.3
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    • pp.129-137
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    • 2016
  • Dark and desolate underground parking spaces in commercial facilities are optimal spaces for crime. First, this study reviewed 15 precedent CPTED guidelines and related literatures, and as a result extracted 45 CPTED planning criteria for underground parking facilities. Secondly by field survey, we investigated six parking spaces in commercial facilities whether they were planned properly based on 45 checklist items, in six categories of CPTED principles. In result, target facilities showed average 46.8% relevance ratio, which means less than a half of 45 items of CPTED planning factors were not applied. Guidelines suggest desirable illuminance level of more than 100 lux, however the measurement of illuminance levels in some parking spaces showed below 50 lux. Relatively department stores were keeping CPTED guidelines better than large discount mart and mixed used facilities. Definition of territory of loading dock and customer area should be clarified, clear signage and color scheme in different zones should be represented with higher level of territorial responsibilities and surveillance in mixed used facilities for further improvement.

Flame Diagnosis Using Neuro-Fuzzy Learning Algorithm (뉴로퍼지학습 알고리듬을 이용한 연소상태진단)

  • Lee, Tae-Yeong;Kim, Seong-Hwan;Lee, Sang-Ryong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.4
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    • pp.587-595
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    • 2002
  • Recent trend changes a criterion for evaluation of humors that environmental problems are raised as a global issue. Burners with higher thermal efficiency and lower oxygen in the exhaust gas, evaluated better. To comply with environmental regulations, burners must satisfy the NO/sub x/ and CO regulation. Consequently, 'good burner'means one whose thermal efficiency is high under the constraint of NO/sub x/ and CO consistency. To make existing burner satisfy recent criterion, it is highly recommended to develop a feedback control scheme whose output is the consistency of NO/sub x/ and CO. This paper describes the development of a real time flame diagnosis technique that evaluate and diagnose the combustion states, such as consistency of components in exhaust gas, stability of flame in the quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using Neuro-Fuzzy algorithm. This study focuses on the relation of the color of the flame and the state of combustion. Neuro-Fuzzy loaming algorithm is used in obtaining the fuzzy membership function and rules. Using the constructed inference algorithm, the amount of NO/sub x/ and CO of the combustion gas was successfully inferred.

An Image Retrieving Scheme Using Salient Features and Annotation Watermarking

  • Wang, Jenq-Haur;Liu, Chuan-Ming;Syu, Jhih-Siang;Chen, Yen-Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.1
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    • pp.213-231
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    • 2014
  • Existing image search systems allow users to search images by keywords, or by example images through content-based image retrieval (CBIR). On the other hand, users might learn more relevant textual information about an image from its text captions or surrounding contexts within documents or Web pages. Without such contexts, it's difficult to extract semantic description directly from the image content. In this paper, we propose an annotation watermarking system for users to embed text descriptions, and retrieve more relevant textual information from similar images. First, tags associated with an image are converted by two-dimensional code and embedded into the image by discrete wavelet transform (DWT). Next, for images without annotations, similar images can be obtained by CBIR techniques and embedded annotations can be extracted. Specifically, we use global features such as color ratios and dominant sub-image colors for preliminary filtering. Then, local features such as Scale-Invariant Feature Transform (SIFT) descriptors are extracted for similarity matching. This design can achieve good effectiveness with reasonable processing time in practical systems. Our experimental results showed good accuracy in retrieving similar images and extracting relevant tags from similar images.

Analysis of Korean Fashion Design Seunghee Suh from the Viewpoint of Simulacre (시뮬라크르 관점에서의 한국적 패션디자인 분석)

  • Suh, Seunghee;Kim, Hanna
    • Journal of Fashion Business
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    • v.23 no.5
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    • pp.19-30
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    • 2019
  • The aim of this study is to analyze the stage of image change in Korean fashion design in regards to the simulacre of Jean Baudrillard. The changing phases of Korean fashion design are as follows: First, the initial stage involved simple imitation, which replicated the original as much as possible, it expressed the basic composition of Hanbok, flat cut and rich silhouette, the color scheme of traditional colors, traditional patterns, materials, and traditional ornaments. In the second stage, the subject matter intervened to distort and transform from the original, the basic composition and structure of the Hanbok were barely maintained, they were either removed or part of the structure modified or expressed using modern materials and patterns. The third stage, were based on reality but differed from reality through subject and imagination, and only left a part of the basic composition of Hanbok, and were expressed through the partial modification of the elements of the Hanbok, for instance the silhouette, skirt waist, collar and breast-tie. The fourth stage of pure simulacre, which refers to a new image with complete independence regardless of the reality. This stage differed from the basic structure and composition of Hanbok, and showcased traditional Korean image of Korea's unique cultural elements, such as hanbok or crafts and artworks, in a modern fashion with a modern sense and practicality.

Iterative Deep Convolutional Grid Warping Network for Joint Depth Upsampling (반복적인 격자 워핑 기법을 이용한 깊이 영상 초해상도 기술)

  • Yang, Yoonmo;Kim, Dongsin;Oh, Byung Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.205-207
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    • 2020
  • This paper proposes a novel deep learning-based method to upsample a depth map. Most conventional methods estimate high-resolution depth map by modifying pixel value of given depth map using high-resolution color image and low-resolution depth map. However, these methods cause under- or over-shooting problems that restrict performance improvement. To overcome these problems, the proposed method iteratively performs grid warping scheme which shifts pixel values to restore blurred image for estimating high-resolution depth map. Experimental results show that the proposed method improves both quantitative and visual quality compared to the existing method.

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A Time Synchronization Scheme for Vision/IMU/OBD by GPS (GPS를 활용한 Vision/IMU/OBD 시각동기화 기법)

  • Lim, JoonHoo;Choi, Kwang Ho;Yoo, Won Jae;Kim, La Woo;Lee, Yu Dam;Lee, Hyung Keun
    • Journal of Advanced Navigation Technology
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    • v.21 no.3
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    • pp.251-257
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    • 2017
  • Recently, hybrid positioning system combining GPS, vision sensor, and inertial sensor has drawn many attentions to estimate accurate vehicle positions. Since accurate multi-sensor fusion requires efficient time synchronization, this paper proposes an efficient method to obtain time synchronized measurements of vision sensor, inertial sensor, and OBD device based on GPS time information. In the proposed method, the time and position information is obtained by the GPS receiver, the attitude information is obtained by the inertial sensor, and the speed information is obtained by the OBD device. The obtained time, position, speed, and attitude information is converted to the color information. The color information is inserted to several corner pixels of the corresponding image frame. An experiment was performed with real measurements to evaluate the feasibility of the proposed method.

New Methods for Correcting the Atmospheric Effects in Landsat Imagery over Turbid (Case-2) Waters

  • Ahn Yu-Hwan;Shanmugam P.
    • Korean Journal of Remote Sensing
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    • v.20 no.5
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    • pp.289-305
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    • 2004
  • Atmospheric correction of Landsat Visible and Near Infrared imagery (VIS/NIR) over aquatic environment is more demanding than over land because the signal from the water column is small and it carries immense information about biogeochemical variables in the ocean. This paper introduces two methods, a modified dark-pixel substraction technique (path--extraction) and our spectral shape matching method (SSMM), for the correction of the atmospheric effects in the Landsat VIS/NIR imagery in relation to the retrieval of meaningful information about the ocean color, especially from Case-2 waters (Morel and Prieur, 1977) around Korean peninsula. The results of these methods are compared with the classical atmospheric correction approaches based on the 6S radiative transfer model and standard SeaWiFS atmospheric algorithm. The atmospheric correction scheme using 6S radiative transfer code assumes a standard atmosphere with constant aerosol loading and a uniform, Lambertian surface, while the path-extraction assumes that the total radiance (L/sub TOA/) of a pixel of the black ocean (referred by Antoine and Morel, 1999) in a given image is considered as the path signal, which remains constant over, at least, the sub scene of Landsat VIS/NIR imagery. The assumption of SSMM is nearly similar, but it extracts the path signal from the L/sub TOA/ by matching-up the in-situ data of water-leaving radiance, for typical clear and turbid waters, and extrapolate it to be the spatially homogeneous contribution of the scattered signal after complex interaction of light with atmospheric aerosols and Raleigh particles, and direct reflection of light on the sea surface. The overall shape and magnitude of radiance or reflectance spectra of the atmospherically corrected Landsat VIS/NIR imagery by SSMM appears to have good agreement with the in-situ spectra collected for clear and turbid waters, while path-extraction over turbid waters though often reproduces in-situ spectra, but yields significant errors for clear waters due to the invalid assumption of zero water-leaving radiance for the black ocean pixels. Because of the standard atmosphere with constant aerosols and models adopted in 6S radiative transfer code, a large error is possible between the retrieved and in-situ spectra. The efficiency of spectral shape matching has also been explored, using SeaWiFS imagery for turbid waters and compared with that of the standard SeaWiFS atmospheric correction algorithm, which falls in highly turbid waters, due to the assumption that values of water-leaving radiance in the two NIR bands are negligible to enable retrieval of aerosol reflectance in the correction of ocean color imagery. Validation suggests that accurate the retrieval of water-leaving radiance is not feasible with the invalid assumption of the classical algorithms, but is feasible with SSMM.

Autonomous Mobile Robot System Using Adaptive Spatial Coordinates Detection Scheme based on Stereo Camera (스테레오 카메라 기반의 적응적인 공간좌표 검출 기법을 이용한 자율 이동로봇 시스템)

  • Ko Jung-Hwan;Kim Sung-Il;Kim Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.1C
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    • pp.26-35
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    • 2006
  • In this paper, an automatic mobile robot system for a intelligent path planning using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth information can be detected. Finally, based-on the analysis of these calculated coordinates, a mobile robot system is derived as a intelligent path planning and a estimation. From some experiments on robot driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the mobile robot and the objects, and relative distance between the other objects is found to be very low value of $2.19\%$ and $1.52\%$ on average, respectably.