• Title/Summary/Keyword: shadow detection

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Lane Detection Algorithm using Morphology and Color Information (형태학과 색상 정보를 이용한 차선 인식 알고리즘)

  • Bae, Chan-Su;Lee, Jong-Hwa;Cho, Sang-Bock
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.6
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    • pp.15-24
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    • 2011
  • As increase awareness of intelligent vehicle systems, many kinds of lane detection algorithm have been proposed. General boundary extraction method can bring good result in detection of lane on the road. But a shadow on the road, or other boundaries, such as horizontal lines can be detected. The method using morphological operations was used to extract information about Lane. By applying HSV color model for color information of lane, the candidate of the lane can be extracted. In this paper, the lane detection region was set by Hough transformation using the candidate of the lane. By extracting lane markings on the lane detection region, lane detection method can bring good result.

Face Detection Algorithm and Hardware Implementation for Auto Focusing Using Face Features in Skin Regions (AF를 위한 피부색 영역의 얼굴 특징을 이용한 Face Detection 알고리즘 및 하드웨어 구현)

  • Jeong, Hyo-Won;Kwak, Boo-Dong;Ha, Joo-Young;Han, Hag-Yong;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.12
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    • pp.2547-2554
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    • 2009
  • In this paper, we proposed a face detection algorithm and a hardware implementation method for ROI(Region Of Interest) of AF(Auto Focusing). We used face features in skin regions of YCbCr color space for face detection. The face features are the number of skin pixels in face regions, edge pixels in eye regions, and shadow pixels in lip regions. The each feature was statistically selected by 2,000 sample pictures of face. The proposed algorithm detects two faces that are closer center of the image for considering the effectiveness of hardware resource. The detected faces are displayed by rectangle for ROI of AF, and the rectangles are represented by positions in the image about starting point and ending point of the rectangles. The proposed face detection method was verified by using FPGA boards and mobile phone camera sensor.

Organic Compounds Vapor Detection Properties of MWCNT/PMMA Composite Film Detector (CNT/PMMA 복합막 검출기의 유기화합물 증기의 검출 특성)

  • Lim, Young Taek;Shin, Paik-Kyun;Lee, Sunwoo
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.28 no.11
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    • pp.727-730
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    • 2015
  • In this paper, we fabricated organic compounds detector using the MWCNT/PMMA (multi-walled carbon nanotube / polymethylmethacrylate) composite film. We used polymer film as a matrix material for the device framework, and introduced CNTs for reacting with the organic compounds resulting in changing electrical conductivity. Spray coating method was used to form the MWCNT/PMMA composite film detector, and pattern formation of the detector was done by shadow mask during the spray coating process. We investigated changes of electrical conductivity of the detector before and after the organic compounds exposure. Electrical conductivity of the detector tended to decrease after the exposure with various organic compounds such as acetone, tetrahydrofuran (THF), toluene, and dimethylformamide (DMF). Finally we conclude that organic compounds detection by the MWCNT/PMMA composite film detector was possible, and expect the feasibility of commercial MWCNT/PMMA composite film detector for various organic compounds.

Vehicle Detection and Classification Using Textural Similarity in Wavelet Domain (웨이브렛 영역에서의 질감 유사성을 이용한 차량검지 및 차종분류)

  • 임채환;박종선;이창섭;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.6B
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    • pp.1191-1202
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    • 1999
  • We propose an efficient vehicle detection and classification algorithm for an electronic toll collection using the feature which is robust to abrupt intensity change between consecutive frames. The local correlation coefficient between wavelet transformed input and reference images is used as such a feature, which takes advantage of textural similarity. The usefulness of the proposed feature is analyzed qualitatively by comparing the feature with the local variance of a difference image, and is verified by measuring the improvements in the separability of vehicle from shadowy or shadowless road for a real test image. Experimental results from field tests show that the proposed vehicle detection and classification algorithm performs well even under abrupt intensity change due to the characteristics of sensor and occurrence of shadow.

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Automatic Visual Inspection System -Detection of Insulator′s Minute Crack- (자동 시각 검사 시스템 -현수애자의 미세균열 검출-)

  • 이상용;김용철
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.576-579
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    • 2004
  • Eventhough the productivity has been improved remarkably by introducing automatic facilities, the 100% inspection is necessary because the possibility to produce large amount of defective goods is also increased. Since it is extremely unreasonable that workers inspect very large amount of products as 100% inspection, there has been many researches for the automatic inspection system. In this thesis, we develop an automatic detection system of suspension insulator's minutes cracks System The automatic detection system of suspension insulator's minute cracks: To detect the minute cracks of suspension insulators, images of the insulator are acquired with a progressive scan camera, rotating a suspension insulator on a turning table. And after the shadow and noises are eliminated by preprocessing techniques, we detect minute cracks using the features of them.

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Real-Time Vehicle Detector with Dynamic Segmentation and Rule-based Tracking Reasoning for Complex Traffic Conditions

  • Wu, Bing-Fei;Juang, Jhy-Hong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.12
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    • pp.2355-2373
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    • 2011
  • Vision-based vehicle detector systems are becoming increasingly important in ITS applications. Real-time operation, robustness, precision, accurate estimation of traffic parameters, and ease of setup are important features to be considered in developing such systems. Further, accurate vehicle detection is difficult in varied complex traffic environments. These environments include changes in weather as well as challenging traffic conditions, such as shadow effects and jams. To meet real-time requirements, the proposed system first applies a color background to extract moving objects, which are then tracked by considering their relative distances and directions. To achieve robustness and precision, the color background is regularly updated by the proposed algorithm to overcome luminance variations. This paper also proposes a scheme of feedback compensation to resolve background convergence errors, which occur when vehicles temporarily park on the roadside while the background image is being converged. Next, vehicle occlusion is resolved using the proposed prior split approach and through reasoning for rule-based tracking. This approach can automatically detect straight lanes. Following this step, trajectories are applied to derive traffic parameters; finally, to facilitate easy setup, we propose a means to automate the setting of the system parameters. Experimental results show that the system can operate well under various complex traffic conditions in real time.

A Study on The Detection of Multiple Vehicles Using Sequence Image Analysis (연속 영상 분석에 의한 다중 차량 검출 방법의 연구)

  • 한상훈;이강호
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.37-43
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    • 2003
  • The purpose of this thesis is to detect multiple vehicles using sequence image analysis at process that detect forward vehicles and lane from sequential color images. Detection of vehicles candidate area uses shadow characteristic and edge information in one frame. And, method to detect multiple vehicles area analyzes Estimation of Vehicle(EOV) and Accumulated Similarity Function(ASF) of vehicles candidate areas that exist in sequential images and examine possibility to be vehicles. Most researches detected a forward vehicles in road images but this research presented method to detect several vehicles and apply enough in havy traffic. To verify the effects of the proposed method, we capture the road images with notebook and CCD camera for PC and present the results such as processing time, accuracy and vehicles detection in the images.

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Real-Time PTZ Camera with Detection and Classification Functionalities (검출과 분류기능이 탑재된 실시간 지능형 PTZ카메라)

  • Park, Jong-Hwa;Ahn, Tae-Ki;Jeon, Ji-Hye;Jo, Byung-Mok;Park, Goo-Man
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2C
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    • pp.78-85
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    • 2011
  • In this paper we proposed an intelligent PTZ camera system which detects, classifies and tracks moving objects. If a moving object is detected, features are extracted for classification and then realtime tracking follows. We used GMM for detection followed by shadow removal. Legendre moment is used for classification. Without auto focusing, we can control the PTZ camera movement by using center points of the image and object's direction, distance and velocity. To implement the realtime system, we used TI DM6446 Davinci processor. Throughout the experiment, we obtained system's high performance in classification and tracking both at vehicle's normal and high speed motion.

A Study for Video-based Vehicle Surveillance on Outdoor Road (실외 도로에서의 영상기반 차량 감시에 관한 연구)

  • Park, Keun-Soo;Kim, Hyun-Tae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.11
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    • pp.1647-1654
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    • 2013
  • Detection performance of the vehicle on the road depends on weather conditions, the shadow by the movement of the sun, or illumination changes, etc. In this paper, a vehicle detection system in conjunction with a robust background estimate algorithm to environment change on the road in daytime is proposed. Gaussian Mixture Model is applied as background estimation algorithm, and also, Adaboost algorithm is applied to detect the vehicle for candidate region. Through the experiments with input videos obtained from a various weather conditions at the same actual road, the proposed algorithm were useful to detect vehicles in the road.

A Study of Performance Characteristics for Active Sonar in Korean Shallow Seawater Temperature Structures (한국 천해 수온구조에서의 능동소나 성능 특성 연구)

  • Kim, Won-Ki;Bae, Ho Seuk;Son, Su-Uk;Hahn, Jooyeong;Park, Joung-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.5
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    • pp.482-491
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    • 2021
  • It is obvious that understanding the effects of shallow water environment of Korea is very important to guarantee the optimal performance of active sonar such as monostatic and bistatic sonar. For this reason, in this paper, we analyzed the detection performance characteristics for various depth deployments of sonar in summer, winter and water temperature inversion environments, which environments are frequently observed in shallow water of Korea such as the Yellow sea. To analyze only effects of water temperature structures on target detection performance, we applied range independent conditions for bottom, sea surface and water temperature characteristics. To understand the characteristics of detection performance, we conducted transmission loss and signal excess modeling. From the results, we were able to confirm the characteristics of detection performance of active sonar. In addition, we verified that operation depth of transmitter and receiver affects the detection performance. Especially in the water temperature inversion environment, it was confirmed that the shadow zone could be minimized and the detection range could be increased through bistatic operation.