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Area Variation Based Color Snake Algorithm for Moving Object Tracking

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Journal of Measurement Science and Instrumentation 2010年第1期1卷 46-49页

作者： Shoum-ik ROYCHOUDHURY young-joon han Electrical and Computer Engineering Temple UniversityPhiladelphia 19122USA

A snake algorithm has been known that it has a strong point in extracting the exact contour of an object. But it is apt to be influenced by scattered edges around the control points. Since the shape of a moving object in 2D image changes a lot due to its rotation and translation in the 3D space, the conventional algorithm that takes into account slowly moving objects cannot provide an appropriate solution. To utilize the advantages of the snake algorithm while minimizing the drawbacks, this paper proposes the area variation based color snake algorithm for moving object tracking. The proposed algorithm includes a new energy term which is used for preserving the shape of an object between two consecutive images. The proposed one can also segment precisely interesting objects on complex image since it is based on color information. Experiment results show that the proposed algorithm is very effective in various environments.

关键词： color snake algorithm area variation moving object tracking snake energy segmentation

Vehicle Detection in Still Images by Using Boosted Local Feature Detector

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Journal of Measurement Science and Instrumentation 2010年第1期1卷 41-45页

作者： young-joon han Hern-soo HAHN Department of Electronic Engineering Soongsil UniversitySeoul 156-743South Korea

Vehicle detectition in still images is a comparatively difficult task. This paper presents a method for this task by using boosted local pattern detector constructed from two local features including Haar-like and oriented gradient features. The whole process is composed of three stages. In the first stage, local appearance features of vehicles and non-vehicle objects are extracted. Haar-tike and oriented gradient features are extracted separately in this stage as local features. In the second stage, Adabeost algorithm is used to select the most discriminative features as weak detectors from the two local feature sets, and a strong local pattern detector is built by the weighted combination of these selected weak detectors. Finally, vehicle detection can be performed in still images by using the boosted strong local feature detector. Experiment results show that the local pattern detector constructed in this way combines the advantages of Haar-like and oriented gradient features, and can achieve better detection results than the detector by using single Haar-like features.

关键词： vehicle detection still image Adaboost local features

Image-based Water Level Measurement Method under Stained Ruler

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Journal of Measurement Science and Instrumentation 2010年第1期1卷 28-31页

作者： Jae-do KIM young-joon han Hern-soo HAHN Dept.of Electronic Engineering Soongsil UniversitySeoul 156-743Korea

This paper propoes the water level measuring method based on the image, while the ruler used to indicate the water level is stained. The contamination of the ruler weakens or eliminates many features which are required for the image processing. However, the feature of the color difference between the ruler and the water surface are firmer on the environmental change compare to the other features. As the color differeaces are embossed, only the region of the ruler is limited to eliminate the noise, and the average image is produced by using several continuous frames. A histogram is then produced on the height axis of the produced intensity average image. Local peaks and local valleys are detected, and the section between the peak and valley which have the greatest change is looked for. The valley point at this very moment is used to detect the water level. The detected water level is then converted to the actual water level by using the mapping table. The proposed method is compared to the ultrasonic based method to evaluate its accuracy and efficiency on the various contaminated environments.

关键词： water level measurment image processing surveillancesystem histogram analysis

Real-Time Front Vehicle Detection Algorithm Based on Local Feature Tracking Method

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Journal of Measurement Science and Instrumentation 2011年第3期2卷 244-246页

作者： Jae-hyoung YU young-joon han Hern-soo HAHN Dept.of Electronic Engineering Soongsil University

This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous *** features in back side of the vehicle are vertical and horizontal edges,shadow and *** comparing local features using the fixed window size,the features in the continuous images are tracked.A robust and fast Haarlike mask is used for detecting vertical and horizontal edges,and shadow is extracted by histogram equalization,and the sliding window method is used to compare both side templates of the detected candidates for extracting *** features for tracking are vertical edges,and histogram is used to compare location of the peak and magnitude of the *** method using local feature tracking in the continuous images is more robust for detecting vehicle than the method using single image,and the proposed algorithm is evaluated by continuous images obtained on the expressway and *** it can be performed on real-time through applying it to the embedded system.

关键词： vehicle detection object tracking real-time algorithm Haarlike edge detection

Environmentally adaptive reshaping of plant photomorphogenesis by karrikin and strigolactone signaling

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Journal of Integrative Plant Biology 2024年第5期66卷 865-882页

作者： young-joon Park Bo Eun Nam Chung-Mo Park Department of Smart Farm Science Kyung Hee UniversityYongin 17104Korea Departmentof Biological Sciences Seoul National UniversitySeoul 08826Korea Department of Chemistry Seoul National UniversitySeoul 08826Korea

Coordinated morphogenic adaptation of growing plants is critical for their survival and propagation under fluctuating *** morphogenic responses to light and warm temperatures,termed photomorphogenesis and thermomorphogenesis,respectively,have been extensively studied in recent *** photomorphogenesis,plants actively reshape their growth and developmental patterns to cope with changes in light ***,photomorphogenesis is closely associated with diverse growth hormonal ***,accumulating evidence indicates that light-directed morphogenesis is profoundly affected by two recently identified phytochemicals,karrikins(KARs)and strigolactones(SLs).KARs and SLs are structurally related butenolides acting as signaling molecules during a variety of developmental steps,including seed *** receptors and signaling mediators have been identified,and associated working mechanisms have been explored using gene-deficient mutants in various plant *** particular interest is that the KAR and SL signaling pathways play important roles in environmental responses,among which their linkages with photomorphogenesis are most comprehensively studied during seedling *** this review,we focus on how the phytochemical and light signals converge on the optimization of morphogenic *** also discuss molecular mechanisms underlying the signaling crosstalks with an aim of developing potential ways to improve crop productivity under climate changes.

关键词： karrikins morphogenic adaptation photomorphogenesis seedling establishment strigolactones

Vehicle Detection Method with Sub-stretching Based on Light Contrast in Fog Road Image

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Journal of Measurement Science and Instrumentation 2011年第1期2卷 25-29页

作者： Myung-yoon LEE Hern-soo HAHN young-joon han Department of Electronic Engineering Soosil UniversitySeoul 156-743Korea

In this paper, detection of a vehicle from a road image with fog is focused to detect an vehicle from a foggy image. Because of the fog in the image, a shape of an object is vague. Therefore an obstacle may occur on the vehicle detection. Thus, features from a foggy road image are surveyed through experinmlts, and a histogram is caloalated with the bright value. The stretching method is then applied with the specific weight as the centre to detect a vehicle smoothly. If the high density area, from the view point of histogram, is applied with the stretching method, the definition of the image can be increased. On this fact, this paper proposed a method to divide the histogram and to determine applicable range of the stretching method. The improved results by the proposed methods are proved with the camparison tests between the proposed and previous methods.

关键词： forggy image road image sub-stretching histogram

Facial Expression Recognition by Split Rectangle Based Adaboost

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Journal of Measurement Science and Instrumentation 2011年第1期2卷 17-20页

作者： Yong-hee HONG young-joon han Hern-soo HAHN Department of Electronic Engineering Soongsil UniversitySeoul 156-743Korea

The facial expression recognition systn using the Ariaboost based on the Split Rectangle feature is proposed in this paper. This system provides more various featmes in increasing speed and accuracy than the Haarolike featrue of Viola, which is commonly used for the Adaboost training algorithm. The Split Rectangle feature uses the nmsk-like shape composed with 2 independent rectangles, instead of using mask-like shape of Haar-like feature, which is composed of 2 --4 adhered rectangles of Viola. Split Rectangle feature has less di- verged operation than the Haar-like feaze. It also requires less oper- ation because the stun of pixels requires ordy two rectangles. Split Rectangle feature provides various and fast features to the Adaboost, which produrces the strong classifier with increased accuracy and speed. In the experiment, the system had 5.92 ms performance speed and 84 %--94 % accuracy by leaming 5 facial expressions, neutral, happiness, sadness, anger and surprise with the use of the Adaboost based on the Split Rectangle feature.

关键词： split rectangle feature Haar-like discrete adaboost facial expression recognition pattern recognition

Night Vehicle Detection Using Variable Haar-Like Feature

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Journal of Measurement Science and Instrumentation 2011年第4期2卷 337-340页

作者： Jae-do KIM Sang-hee KIM young-joon han Hern-soo HAHN Dept. of Electronic Engineering Soongsil University Seoul 156-743 Korea Metabuild Co. Seoul Korea

This paper proposes a night-time vehicle detection method using variable Haar-like *** specific features of front vehicle cannot be obtained in road image at night-time because of light reflection and ambient light,and it is also difficult to define optimal brightness and color of rear lamp according to road *** comparison,the difference of vehicle region and road surface is more robust for road illumination ***,we select the candidates of vehicles by analysing the difference,and verify the candidates using those brightness and complexity to detect vehicle *** feature of brightness difference is detected using variable horizontal Haar-like mask according to vehicle size in the location of *** the region occurring rapid change is selected as the *** proposed method is evaluated by testing on the various real road conditions.

关键词： vehicle detection variable Haar-like feature brightness distribution analysis

Dual in-situ observation of tribochemical and morphological evolution of single-layer WS_(2)and multi-layer WS_(2)/C coatings

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Friction 2024年第7期12卷 1580-1598页

作者： Yuzhen LIU Jae-Ho han Shusheng XU young Chan JUNG Dae-Eun KIM State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Department of Mechanical Engineering Yonsei UniversitySeoul03722Republic of Korea Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai Yantai 264000China Yantai Zhongke Research Institute of Advanced Materials and Green Chemical Engineering Yantai 264000China

The outstanding tribological performance of transition metal dichalcogenides(TMDs)is attributed to their unique sandwich microstructure and low interlayer shear *** advantageous structure allows TMDs to demonstrate exceptional friction reduction ***,the incorporation of TMDs and amorphous carbon(a-C)in multi-layer structures shows excellent potential for further enhancing tribological and anti-oxidation *** carbon,known for its high ductility,chemical inertness,and excellent wear resistance,significantly contributes to the overall performance of these multi-layer *** gain an in-depth understanding of the tribological mechanism and evolution of TMDs’multi-layer coatings,a dual in-situ analysis was carried out using a tribometer equipped with a 3D laser microscope and a Raman *** innovative approach allowed for a comprehensive evolution of the tribological,topographical,and tribochemical characteristics of both single-layer WS_(2)and multi-layer WS_(2)/C coatings in real *** findings from the dual in-situ tribotest revealed distinct failure characteristics between the single-layer WS_(2)coating and the multi-layer WS_(2)/C *** single-layer WS_(2)coating predominantly experienced failure due to mechanical removal,whereas a combination of mechanical removal and tribochemistry primarily influenced the failure of the multi-layer WS_(2)/C *** tribological evolution process of these two coatings can be classified into four stages on the basis of their tribological behavior:the running-in stage,stable friction stage,re-deposition stage,and lubrication failure *** stage represents a distinct phase in the tribological behavior of the coatings and contributes to our understanding of their behavior during sliding.

关键词： In-situ analysis multi-layer coating tribology tribochemistry